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Nikita, Lakehouse Developer

Last Job: 13 May 2024

A seasoned Data Engineer with over 6 years of experience in the field of software and big data engineering. Holds a strong academic background in Computer Science and Software Engineering, certified as a Google Cloud Professional Data Engineer. Demonstrates deep expertise in high-load system design, performance optimizations, and domain-specific solutions for Healthcare, Fintech, and E-commerce. Proficient in Python and SQL, with significant exposure to data engineering tools such as Apache Hadoop, Apache Spark, and Apache Airflow, and cloud technologies from AWS and GCP. Adept at working with various databases and message brokers, excelling in data modeling, BI, and data visualization using tools like Looker, Power BI, and Tableau. Enhanced system efficiencies through SQL and data pipeline optimizations, driving significant improvements in processing speed and system performance. A collaborative engineer with a strong grasp of DevOps practices, committed to best-in-class data governance and security standards.

Lakehouse

Lakehouse

Python

Python   6 yr.

SQL

SQL   6 yr.

Apache Airflow

Apache Airflow   5 yr.

JMeter

JMeter   6 yr.

PySpark

PySpark   6 yr.

View Nikita
5.0
Based on 9 reviews

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Manager
Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire Lakehouse Developer

1
Talk to Our Lakehouse Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Lakehouse Talents
Within 1-3 days, we’ll share profiles and connect you with the right Lakehouse talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Lakehouse expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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5.0
Based on 9 reviews
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FAQs on Lakehouse Development

What is a Lakehouse Developer? Arrow

A Lakehouse Developer is a specialist in the Lakehouse framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Lakehouse Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Lakehouse Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Lakehouse Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Lakehouse, then hiring a Lakehouse Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Lakehouse Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Lakehouse Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Lakehouse Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Lakehouse Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Lakehouse Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Lakehouse Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Lakehouse Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Lakehouse used?

How and where
  • Real-time Analytics: Processing and analyzing data in real-time to make immediate decisions.
  • Data Warehousing: Storing large volumes of structured and unstructured data for analysis.
  • Machine Learning: Using algorithms to learn from data and make predictions or decisions.
  • Data Exploration: Investigating data to discover patterns, trends, and insights.
  • IoT Data Management: Handling massive amounts of data generated by Internet of Things devices.
  • Customer Behavior Analysis: Analyzing customer interactions and behaviors to improve products and services.
  • Fraud Detection: Identifying and preventing fraudulent activities using data analysis.
  • Personalized Marketing: Tailoring marketing strategies based on individual customer preferences.
  • Risk Management: Assessing and mitigating risks by analyzing historical and real-time data.
  • Supply Chain Optimization: Streamlining supply chain operations using data-driven insights.

Compare Junior, Middle, Senior, and Expert/Team Lead Lakehouse Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 years
  • Assist in data cleaning and transformation
  • Support in basic analytics tasks
50,000
Middle3-5 years
  • Develop and optimize ETL processes
  • Contribute to data modeling
70,000
Senior5-8 years
  • Lead data architecture design
  • Manage data lakes and pipelines
90,000
Expert/Team Lead8+ years
  • Define data strategy and roadmap
  • Mentor and lead a team of developers
120,000

Quick Facts about Lakehouse.

Facts about
  • Lakehouse Software Development was born in the magical year of 2019.
  • The Lakehouse technology is famous for hosting data lakes and warehouses.
  • To dive into Lakehouse, you need a solid background in data engineering.
  • Spark, the mighty processing engine, is Lakehouse’s best buddy.
  • Did you know? Lakehouse is like having a cabin in the woods for your data!

TOP Lakehouse Related Technologies

Related Technologies
  1. Delta Lake
  2. Apache Spark
  3. AWS Glue
  4. Databricks
  5. Apache Hudi

What are top Lakehouse instruments and tools?

Instruments and tools
  • Delta Lake: Open-source storage layer that brings ACID transactions to Apache Spark and big data workloads, released by Databricks in 2017
  • Apache Hudi: Data lake framework for stream processing on top of Apache Hadoop, originated from Uber in 2019
  • Snowflake Data Lake: Cloud-based data platform that provides a single and integrated platform for data engineering, data lake, data warehousing, and data sharing, released by Snowflake Inc. in 2014
  • Amazon S3: Object storage service offered by Amazon Web Services for storing and retrieving any amount of data, launched in 2006
  • Google Cloud Storage: Unified object storage for developers and enterprises, provided by Google Cloud and introduced in 2010

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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Maria Lapko
Global Partnership Manager