Hire Data Extraction and ETL Developer

- 8 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer - 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) - Data QA, SQL, Pipelines, ETL, Automated web scraping. - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Extensive experience with Spark and Hadoop, Databricks - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 5 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP) including 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; - Upper-intermediate to advanced English, - Henry is comfortable and has proven track record working with North American timezones (4hour+ overlap)

- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. Microsoft Azure services. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

- Data Engineer with 6+ years of experience in data integration, ETL, and analytics; - Expertise in Spark, Kafka, Airflow, and DBT for data processing; - Experience in building scalable data platforms for finance, telecom, and investment domains; - Strong background in AWS, GCP, Azure, and cloud-based data warehousing; - Led data migration projects and implemented real-time analytics solutions; - Skilled with Snowflake, ClickHouse, MySQL, and PostgreSQL; - Experience in optimizing DWH performance and automating data pipelines; - Experience with CI/CD, data governance, and security best practices.

- 4+ years of experience as a Data Engineer, focused on ETL automation, data pipeline development, and optimization; - Strong skills in SQL, DBT, Airflow (Python), and experience with SAS, PostgreSQL, and BigQuery for building and optimizing ETL processes; - Experience working with Google Cloud (GCP) and AWS: utilizing GCP Storage, Pub/Sub, BigQuery, AWS S3, Glue, and Lambda for data processing and storage; - Built and automated ETL processes using DBT Cloud, integrated external APIs, and managed microservice deployments; - Optimized SDKs for data collection and transmission through Google Cloud Pub/Sub, used MongoDB for storing unstructured data; - Designed data pipelines for e-commerce: orchestrated complex processes with Druid, MinIO, Superset, and AWS for data analytics and processing; - Worked with big data and stream processing: using Apache Spark, Kafka, and Databricks for efficient transformation and analysis; - Amazon sales forecasting using ClickHouse, Vertex AI, integrated analytical models into business processes; - Experience in Data Lake migration and optimization of data storage, deploying cloud infrastructure and serverless solutions on AWS Lambda, Glue, and S3.

Engineer with extensive experience in software architecture and team leadership. Expert in designing high-scalability, secure solutions with cloud platforms, microservices, and performance optimization. Proficient in a range of technologies, including AWS, Docker, Git, JavaScript, Golang, and various databases (MySQL, MongoDB, Oracle). Acknowledged for converting complex business requirements into effective software systems. Recognized for skills in SDLC, CI/CD, REST APIs, and leading cross-functional teams to deliver innovative software products.

As a passionate AI developer with a strong command over machine learning, data analytics tools, deep learning, Django, Flask, SQL, data extraction, and web automation, I have gained valuable experience through various roles. I have worked as a data analyst on contracts with an Indian MNC, making significant contributions. Additionally, I played a key role in a ship maintenance-based startup by providing a corrosion segmentation solution. Moreover, I have worked on RAG techniques and implemented personalised chatbot features using LLMs like ChatGPT using LangChain technology. I have successfully provided customers more than a million units of required data by implementing efficient data extraction methods.

An adept software engineer with significant expertise in AI technologies, focusing on Generative AI solutions for media companies. Demonstrates proficiency in DevOps methodology, with extensive experience in orchestrating CI/CD pipelines, cloud infrastructure, and MLOps from roles at top gaming and tech companies.Notable achievements include driving a 300% reduction in production time and up to a 200% increase in quality capabilities for AI projects.Experience extends over a decade, with strong proficiency in various programming languages and tools such as C#, Unity3D, Terraform, EKS, K8s, Helm, Docker, Linux, Jenkins, and Gitlab. Known for leading pivotal projects, displaying ownership, and training multilingual personnel while optimizing costs and resources in cloud deployments.

- Data Engineer with solid data pipelines, DWH, data lake architecture, development and optimization expertise on cloud platforms including Azure, GCP, and AWS. - Snowflake strong - advanced level - with a proven track record of automating ETL processes with multiple tools managing large-scale data warehousing, and enabling business intelligence through sophisticated analytics solutions. - Strong Python, Spark, Kafka, skills, - Experience creating datastore and DB architectures, ETL routines, data management and performance optimization - MSSQL, MySQL, Postgres. - In multiple projects, Vadym analysed and Improved operational efficiency, reduced data-related infrastructure costs, and delivered seamless data integration and transformation across systems.