Hire Vetted Data and Analytics Engineers at Upstaff
All vetted software engineers you need to build AI, Web3, and data Products.
- Dedicated Full-time commitment for long-term or Time& Material for shorter or ongoing support
- Europe, Israel, LatAm, United States, Asia geography coverage
- Remote and hybrid engagement
- Trial period, no termination fees or hidden costs for transparent and risk-free onboarding.
Data and Analytics
All
Web Application
Data and Analytics
Cloud and Operations
Mobile Application
Blockchain
Design and Creative
Digital Platforms
Quality Assurance
Project Management
Desktop Application
Scripting and Automation
Marketing and SEO
Embedded Systems
Writing and Translation
Low-Code and No-Code
GameDev
Industrial Engineering
SQL 8yr.
Python 6yr.
Apache Airflow
Power BI
Azure Databricks
- 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results.
- 8+ years of experience with Tableau (Certified Tableau Engineer)
- Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced)
- Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis - AWS, Redshift
GCP
AWS
Kubernetes
Firecracker MicroVMs
- AVP - Technology Lead with 12 years in IT and 8+ years of architecture and platform engineering experience across regulated financial services.
- GCP-based Kubernetes platforms, IAM and data-risk controls, and a Gemini/Vertex AI-powered RAG agent shipped for a live trading platform.
- Architecting secure AWS production environments: Firecracker MicroVMs, 40+ clusters with Terraform;
- Background spans AWS and GCP environments, IT governance frameworks, cybersecurity and risk reviews, and coordinating transformation and migration work across engineering, security, and compliance teams, SOC2 and ISO 27001.
- Multi-layered data infrastructures (PostgreSQL, ChromaDB/PGVector, and Neo4j) for AI agents
React 5yr.
TypeScript 5yr.
Node.js 5yr.
LangGraph
Agentic Worflows
- Senior Full-Stack AI Engineer and AI Systems Architect with 10+ years of experience building scalable, high-performance platforms for leading banks across Dubai, the United States, and Europe, as well as taking AI-driven startup products from MVP to production.
- Combines architectural expertise in React, Next.js, TypeScript with a strong business vision, designing cost-optimized Hybrid AI architectures that bridge legacy systems with modern Agentic workflows.
- Leading teams, mentoring engineers, and delivering products from MVP to profitability.
Databricks
SAP BW
PySpark
SQL
Power BI
- 15+ years with business analysis and data engineering.
- Data engineer on Databricks + Delta Lake daily: PySpark, Spark SQL, medallion architecture, job tuning, and cost control. Strength is reverse-engineering undocumented legacy warehouses (incl. SAP BW concepts) and reproducing the logic as maintained models and pipelines, with source-to-target reconciliation as the acceptance gate.
- Migration: source cutovers, six-provider schema unification into one canonical model, historical backfills and restatements. Dimensional Gold-Silver-Bronze model and the semantic layer. AWS Flue, MS Fabrick, Power BI.
- Domains: Fintech, payments, AML and regulatory reporting; US retirement & wealth; BMW.
Java 25yr.
Python 5yr.
AWS 5yr.
Agentic AI 1yr.
- Technology leader, Solution Architect, hands-on builder, and founder with 25+ years of experience designing and building software products and platforms across Agentic AI, cloud, automation, and workflow orchestration, Agentic AI, LLM orchestration, workflow automation, SaaS, and cloud platforms.
- Hands-on Solution Architect, CTO, Founder, Principal Architect, and Developer specializing in Agentic AI, LLM orchestration, workflow orchestration, durable execution, cloud architecture, distributed systems, and product platforms.
- Worked at startups and enterprises (IBM, Automation Anywhere, Stanford University)
Agile
RAG
Agentic AI
AI workflows
LLMs
- AI product & transformation lead | 8+ yrs product ownership, BA, enterprise delivery & AI workflows. Driving AI products & adoption at Rivian and Volkswagen Group Technologies (discovery→pilot→rollout→optimization).
- Expertise: process mapping, AI use-case prioritization, trade-offs, measurable adoption.
- Hands-on: agents, prompting, RAG, tool-use, workflow automation, evaluation, low-code prototyping.
CORE SKILLS AI
- Transformation: process mapping, use-case prioritization
- Agentic AI & LLMs: agents, prompting, RAG, tool-use, rapid prototyping
- Product & Delivery: roadmaps, PRDs, stories, ACs, Agile/SAFe
- Eval & Adoption: quality, enablement
- Leadership: workshops, alignment, exec comms
Databricks 5yr.
Azure Data Factory 2yr.
PySpark 2yr.
AWS Glue
SQL
- Over 6 years of experience with high-volume data platforms (PySpark, Databricks), and orchestrating pipelines with Apache Airflow and Azure Data Factory. AWS and Azure cloud services for ELT processes.
- Delivered consulting services for Banking (Santander), Retail (Mango, Zalando), Insurance (Reale Seguros), and Industry (Telefónica, Técnicas Reunidas) on Databricks Lakehouse adoption and data platform strategy.
- Strong background in ML model industrialization, ETL processes, and optimization of Spark configurations
- Hosted the first Databricks User Group Meetup in Madrid and attended the DAIS 2025 in San Francisco.
Python 5yr.
SQL 5yr.
AWS 5yr.
Databricks 1yr.
- Data engineer with 18+ years in distributed systems and data-intensive platforms, now focused on cloud ETL/ELT (Extract-Transform-Load and Extract-Load-Transform) pipelines and lakehouse architecture.
- Recent work: rebuilding a legacy on-premise SQL/shell/Python pipeline estate as medallion-layered Databricks/Delta Lake pipelines for a global investment bank, and building AWS-native batch and streaming pipelines (EMR/Spark, S3, Lambda, Step Functions, Kinesis) for aglobal financial market-data provider.
- Strong SQL and relational database design; dimensional modelling and data warehousing; data quality, lineage and governance in strictly regulated environments.
- EU-resident in Sofia.
Snowflake 2yr.
Databricks 1yr.
SQL
ETL Pipelines
AWS Glue
- 15 years of experience in software and data engineering. Expertise in designing and implementing cloud-native data lakehouse solutions using Snowflake, Azure Databricks, and Apache Kafka with CDC and Lambda/Kappa architectures.
- Proficient in Go, Python, SQL, PL/SQL, ETL, dbt, Airflow, Debezium, and CI/CD pipelines with GitLab, enhancing data ingestion and transformation workflows. AWS and Azure cloud services.
- Led development of zero-downtime upgrade features for VMware vSphere, holding patents for innovative software-defined data center upgrade methods.
- Data consulting for Neoshare AG, DSK Bank, OpenTag EOOD, VMware, CODIX S.A and IBM.
SQL 13yr.
Azure Data Factory 4yr.
Snowflake 3yr.
dbt 2yr.
Databricks
- Over 15 years of expertise in designing and implementing ETL/ELT, high-availability databases and advanced BI solutions across cloud and on-premises platforms, including Snowflake, AWS, Azure, and SQL Server.
- Proficient in SQL (T-SQL, PL-SQL), Python (NumPy, Pandas), MDX, and ETL tools such as dbt, SSIS, and Azure Data Factory, with strong experience in data warehouse architecture and migration projects.
- Solid foundation in computer science with MSc in Microsoft Information Technologies and hands-on experience in Microsoft BI stack, cloud data engineering, and agile methodologies, including SCRUM and Azure DevOps.
JavaScript 10yr.
React 10yr.
Node.js 7yr.
React Native 2yr.
Java
- 15+ years of experience in web development
- Front-End: JavaScript & TypeScript (React, Angular, Vue.js).
- Mobile: React Native.
- Back-End: Java (Spring Boot, JavaCV + FFmpeg for media processing), Node.js, Next.js, TypeScript, PHP.
- AWS Cloud infrastructure, Lambda/Serverless, SNS/SQS.
- Unit testing, integration testing, testing automation frameworks and tools
- M.Sc in Software Engineering, GAI, LLMs.
- Experience leading and mentoring a team of developers, including assigning tasks, providing guidance, and ensuring the team's success. Conducting assessments and interviews. Ability to motivate and train team members, resolve conflicts, and providing constructive feedback.
Python
AWS
Kafka
Apache Airflow
Snowflake
- 8+ years of experience as a Data Engineer, Data QA, and Data Science challenges. - AWS Certified Data Analytics.
- Experience creating and supporting of ELT data pipelines built on Snowflake and DBT
- Warehousing models, and support existing processes/ETL’s (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, AWS services
- Software developer with good communication and organizational skills.
Azure 5yr.
Python 4yr.
Databricks
Apache Airflow
- 12+ years of experience in IT, with 12+ years in Data Engineering and Data Architecture, including Oracle Databases, Data Warehousing, Big Data, and real-time streaming systems;
- Experience in designing and maintaining enterprise Data Warehouses, leading cloud migration initiatives across Azure, AWS, and GCP;
- Strong architectural expertise in ETL/ELT pipelines, batch/real-time processing, and data governance/quality frameworks;
- Deep knowledge of Big Data ecosystems (Cloudera, Hadoop, Databricks, Synapse Analytics, HDInsight, AWS EMR);
- Skilled in multi-cloud architecture design using Snowflake, DBT, Cosmos DB, Redshift, BigQuery, Athena, and Data Lake solutions;
- Experienced in data streaming and integration with Apache Kafka, Apache Spark, PySpark, and Airflow;
- Expertise in BI and reporting systems with Power BI and Tableau for data visualization and analytics delivery;
- Strong foundation in database administration and security: Oracle EBS R12, RAC/ASM, WebLogic, SOA Suite, ERP systems, database audits, and compliance;
- Certified in Azure Data Engineer, AWS Data Analytics Specialty, Confluent Kafka, Oracle DBA.
$100/hr
$8500/month
$8500/month
Python
C
C++
* 25 years in Israel high-tech (Video, Streaming) , 5 years with Cloud Gaming (Electronic Arts)
* Scalable Video Streaming among LEO satellites (research project of Ben Gurion University)
* Cloud Gaming: encoding, decoding, low latency streaming (e.g. RTP/SRT), error resilience etc.
* Video Codecs: Subcontracting with Visionular on improving coding efficiency of its own HEVC
encoder.
* Subcontracting with DSP-IP - military projects
* Video optimization and hevc codec development (Beamr Imaging)
* Python Programming: development automated testing systems (CI), proofs of concept, computer vision with packages cv2 and cvlib.
* Artificial Intelligence: genetics/evolutionary optimization of video codec parameters, facial expressions detection with CNN.
* 360/VR: subcontracting with Texel (texel.live) - tiled streaming Computer Vision: OpenCV (including python cv2).
* NVIDIA/AMD products: evaluation and modification hw encoders: Tesla T4, A40) of NVIDIA and Navi21 of AMD.
* and several technical papers and several technical papers
Python 9yr.
SQL 6yr.
Databricks
PySpark
- 9 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer
- Built and optimized production-grade PySpark pipelines handling millions of records, including complex transformations, joins, aggregations, and backfills, with a strong focus on performance and data quality.
- Automated Web scraping (Beautiful Soup and Scrapy, CAPTCHAs and User agent management)
- Data QA, SQL, Pipelines, ETL
- Data Analytics/Engineering with Cloud Service Providers (AWS, GCP)
- Extensive experience with Spark and Hadoop, Databricks (hands-on with Spark-based pipelines deployed in cloud environments and have used Databricks as the execution and collaboration layer: jobs, notebooks, cluster configs).
- 7 years of experience working with MySQL, SQL, and PostgreSQL;
- 5 years of experience with Amazon Web Services (AWS)
- Google Cloud Platform (GCP): BigQuery, GCS, App Engine, data pipelines, and Azure (basic knowledge)
- Data Analytics/Engineering services, Kubernetes (K8s)
- 5 years of experience with PowerBI
- 4 years of experience with Tableau and other visualization tools like Spotfire and Sisense;
- 3+ years of experience with AI/ML projects, background with TensorFlow, Scikit-learn and PyTorch;
- Extensive hands-on expertise with Reltio MDM, including configuration, workflows, match rules, survivorship rules, troubleshooting, and integration using APIs and connectors (Databricks, Reltio Integration Hub), Data Modeling, Data Integration, Data Analyses, Data Validation, and Data Cleansing)
- Upper-intermediate to advanced English
Python
MatLab
TensorFlow
PyTorch
- Machine Learning and Data Engineer with 10+ years of professional experience.
- Knowledge of a wide range of programming languages, technologies and platforms, inc Python, JavaScript, C/C++, MATLAB;
- Extensive experience with designing and academic analysis of AI/ML algorithms, data analytics, mathematical optimization, modern statistical and stochastic models, robotics;
- Determining and analyzing business requirements, communicating with clients and architecting software product;
- Solid experience in engineering and design of robust and efficient software products;
- Track record of performing as a member of large-scale distributed engineering teams;
- Strong knowledge of OOP/OOA/OOD, database modeling;
- Experience with cutting edge Semiconductor Engineering;
- Proficient in writing and presentation of grants, projects reports and documentation;
- Fluent English;
- Upper-Intermediate German and Dutch.
TensorFlow 5yr.
PyTorch 5yr.
Scikit-learn
Kubeflow
Mlflow
Experienced IT professional with more than ten years of expertise in Cloud Systems,
DevOps, Machine Learning and MLOps practices. Pavlo specializes in building scalable and reliable ML pipelines, optimizing models for real-world use, and managing full lifecycle of machine learning projects. Pavlo's technical skills include TensorFlow, PyTorch, Kubernetes, Kubeflow, Terraform, Python, as well as cloud platforms and services such as AWS SageMaker and Azure Cognitive Services.
Data Analysis 10yr.
Python
Prompt Engineering
- 10+ years in Forecasting, Analytics & Math Modelling
- 8 years in Business Analytics and Economic Processes Modelling
- 5+ years in Data Science
- 5+ years in Financial Forecasting Systems
- Master of Statistics and Probability Theory (diploma with honors), PhD (ABD)
- BSc in Finance
- Strong knowledge of Math & Statistics
- Strong knowledge of R, Python, VBA
- Strong knowledge of PostgreSQL and MS SQL Server
- 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development
- Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting
- Engineering, Understanding AI and LLMs
AWS
MLOps
Kubernetes
Terraform
Gitlab actions
- DevOps/Cloud Architect with 10+ years of experience in DevOps, Cloud, and MLOps engineering;
- Led large-scale projects including Hadoop-to-AWS OLAP migration, cutting operational costs by 25% and improving system performance;
- Expertise in Kubernetes-based microservices architectures, AWS Fargate, and high-availability designs achieving 99.99% uptime;
- Experience in multi-cloud (AWS, GCP) and hybrid on-prem/cloud adoption;
- Skilled in containerization and orchestration with Docker, Kubernetes, and OpenShift;
- Advanced in Infrastructure as Code (Terraform, Helm, Ansible) and GitOps/CI/CD automation (GitLab CI, GitHub Actions, ArgoCD, Jenkins);
- Delivered automated CI/CD for serverless apps with AWS SAM, reducing deployment time from hours to 20 minutes;
- Experienced in MLOps with AWS Sagemaker and Kubeflow, building end-to-end ML workflows;
- Skilled in DevSecOps, implementing RBAC, Secrets Manager, SAST/SCA scans, reducing vulnerabilities by 50%;
- Skilled in cloud networking, storage, and big data systems (Spark, Hadoop, EMR, Kinesis);
- Expertise in Python, Go, Java, and Bash for automation and integration;
- Experience of technical leadership, mentoring engineers, and guiding 50+ developers in Kubernetes/Docker adoption;
- Experienced in architectural design, Cloud as Code initiatives, and cross-team collaboration;
- Certified Kubernetes Administrator (CKA), AWS Solutions Architect, and GCP Professional Cloud Architect.
Python
- 10+ years in AI/ML & Data Science, high-performance systems, 10+ years in DevOps and 5+ years in MLOps;
- Expertise in Python, Asyncio, Aiohttp, Redis, PostgreSQL, Neo4j, ElasticSearch, and cloud platforms (AWS, GCP, Azure);
- Experience with high-load environments, Redis queues, custom assemblies, and data isolation in production-ready systems;
- Skilled in Active Directory integrations, NLP, similarity engines, and AI-driven architectures, with focus on context engineering, summarization, and agentic RAG pipelines (LlamaIndex, Quadrant, IntentRouter);
- Experienced with both text and voice AI models (speaker identification, speech-to-text) and ontology-driven algorithms (PCA, classifiers, semantic understanding from scratch);
- Knowledge of AWS services (S3, EC2, Fargate, EKS, Bedrock pipelines), Kubernetes, CI/CD automation, and cloud migrations (AWS to GCP);
- Passion for NLP, AI, and similarity engines, with preference for applied AI/ML approaches over purely statistical methods;
- Experienced leadership in R&D and engineering management, delivering production-ready AI/ML solutions in defense, search, and semantic platforms.
Python
Computer Vision (CV)
Pandas
ML
AI
Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.
Scala
Software Engineer with proficiency in data engineering, specializing in backend development and data processing. Accrued expertise in building and maintaining scalable data systems using technologies such as Scala, Akka, SBT, ScalaTest, Elasticsearch, RabbitMQ, Kubernetes, and cloud platforms like AWS and Google Cloud. Holds a solid foundation in computer science with a Master's degree in Software Engineering, ongoing Ph.D. studies, and advanced certifications. Demonstrates strong proficiency in English, underpinned by international experience. Adept at incorporating CI/CD practices, contributing to all stages of the software development lifecycle. Track record of enhancing querying capabilities through native language text processing and executing complex CI/CD pipelines. Distinguished by technical agility, consistently delivering improvements in processing flows and back-end systems.
Tableau 7yr.
- 7 years of commercial experience with Tableau
- 8 years of experience as a BI Consultant, providing data visualization expertise in Tableau, Power BI, Python, SQL
- Created visually compelling and interactive Tableau dashboards for clients in the real estate domain in the US
- Upper-Intermediate English
Tableau 4yr.
SQL 4yr.
Power BI 4yr.
Spotfire 1yr.
Python
- 5 years of commercial experience with PowerBI and Tableau
- 4 years of commercial experience with SQL
- Prepared a comprehensive analysis of the US real estate market with Spotfire
- Assessed data quality from sources that contained tens of thousands of customer and transaction data, by using SQL in Azure SQL Database
- Employed data-driven techniques to develop RFM analysis, and create interactive dashboards for customer trend visualization and high-value business proposals
- Upper-Intermediate English
Data Analysis 4yr.
AWS ML (Amazon Machine learning services) 4yr.
Neural Networks
Data Mining
Business Analysis
- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries.
- Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI.
- Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services.
- Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis.
- Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies.
- Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.
Salesforce Apex 4yr.
Lightning Web Components 4yr.
Sales Cloud 4yr.
Service Cloud 2yr.
- 5+ years developing scalable Salesforce solutions across Service Cloud, Sales Cloud, and Experience Cloud. - Expertise in Apex, Lightning Web Components, Aura, and managed packages with strong focus on reusable components and code quality. - Skilled in complex integrations with AWS, Azure, Twilio, Nylas, and real-time data exchange. - Proficient in Salesforce declarative tools including Flows, Workflow Rules, and automation best practices. - Experience delivering enterprise-grade applications in mortgage, recruitment, and commerce domains with AI-powered workflows.
AI
• Finance AI Evaluation: Tested AI-generated responses for accounting accuracy, financial reasoning, relevance, and consistency.
• AI Testing: Created finance-focused test scenarios covering accounting, financial reporting, audit, controls, reconciliations, and revenue recognition.
• AI Output Validation: Identified accounting errors, calculation issues, inconsistencies, unsupported conclusions, and potential hallucinations.
• Finance Workflow Testing: Evaluated AI use cases across P2P, O2C, financial reporting, reconciliation, audit, and ERP processes.
• Edge-Case Testing: Developed complex finance scenarios to assess AI reliability and reasoning in real-world situations.
Figma
HTML
CSS
JavaScript
Adobe Illustrator
- Senior product designer with 10+ years in enterprise SaaS, AI, healthcare, and consumer products, specializing in complex workflow design and AI-driven user experiences.
- Led AI onboarding and agent-assistance workflows at Nextiva, achieving up to 50% reduction in missed calls and 20% faster call handling.
- Proficient in Figma, Adobe CC, Cursor, Claude, ChatGPT, GitHub Copilot, HTML, CSS, JavaScript, and design systems like Sedona.
- Experienced in design systems, human-AI interaction, conversational UX, prototyping, usability testing, and data-driven UX strategies.
- Mentored 80+ designers via ADPList and led design teams through critiques, coaching, and cross-functional collaboration.
Apache Spark
Databricks
Apache Airflow
Clickhouse
AWS
- Data Platform Engineer and DevOps with 4+ years optimizing data infrastructure and distributed systems using Apache Spark, ClickHouse, and cloud platforms.
- Reduced infrastructure costs by R$3M+ annually through Spark ingestion framework optimization at XP Inc.
- Expertise in AWS, Terraform, Kubernetes, GitOps, and CI/CD pipelines enhancing platform reliability and scalability.
- Developed observability and event-driven architectures with CloudWatch, OpenTelemetry, Kinesis, and Lambda for real-time workloads.
- Proficient in Python, SQL, TypeScript, and distributed system design, delivering platform tooling adopted by 100+ engineers.
AWS
Azure
Agentic AI
Python
- 10+ years in cloud-native architecture, AI platform delivery, and enterprise governance across multi-cloud environments (AWS, Azure, Google Cloud).
- Led enterprise architecture practice, delivering 8+ AI systems, achieving CMMI Level 2 maturity, and co-authoring cybersecurity aligned to ISO 27001 and NIST.
- Skilled in Python, C#, Java, JavaScript/TypeScript, microservices, containerization (Docker, Kubernetes), serverless, and IaC (Terraform).
- Leadership managing 40+ engineers, driving $4M+ revenue growth, and mentoring across distributed teams.
- Creator of AI governance frameworks, AI-powered automation, and multi-LLM orchestration platforms; active in thought leadership and industry innovation.
Python 6yr.
PyTorch 6yr.
Docker 6yr.
Azure ML 3yr.
Kubernetes 3yr.
- Senior AI/ML Engineer with 6+ years in architecting enterprise AI platforms, multi-agent systems, and GenAI workflows, delivering solutions with 94%+ task accuracy and serving 10M+ monthly inferences.
- Expertise in Python, PyTorch, Azure AI ecosystem, LLM/SLM fine-tuning (Phi-3/4, GPT-4), and optimization (vLLM, TensorRT-LLM) reducing compute costs by 45%.
- Proven track record in building scalable MLOps pipelines, real-time AI safety guardrails, and automated evaluation frameworks ensuring SOC2/GDPR compliance.
- Strong background in data engineering with Apache Spark, Kafka, Delta Lake, and hybrid search systems integrating vector databases and semantic ranking for enhanced retrieval precision.
Azure
Microsoft Fabric
Databricks
SQL
Power BI
- 10+ years of expert-level Power BI Pro (Desktop/Service), including workspaces, RLS, deployment pipelines and gateways. Also teaches Power BI at an IT school
- Expert in DAX and Power Query, including complex models, time intelligence, performance optimization, M, query folding and parameterization
- SQL experience with Azure SQL/SQL Server, T-SQL, DWH, tuning and SSAS Tabular. Strong ETL/data integration background, including ERP, APIs and building DWH from scratch
- Skilled with Databricks, Spark/PySpark, Delta Lake and notebooks, plus ADLS/Lakehouse and medallion architecture
- Experience with Parquet optimization, Synapse Analytics, Azure Data Factory, pipelines, orchestration and incremental loads