Senior Data Engineer

Data Analytics Oakland, California, United StatesUnited States America/New_York - EST / EDT
Summary

With 8 years of experience as a Senior Data Engineer, I'm well-versed in AWS and Azure cloud services, skilled in Big Data tools like Hadoop and Spark, and have expertise in building data pipelines. I specialize in designing cloud infrastructure, converting queries into efficient transformations, and using Databricks for data exploration. I've led successful data warehouse migrations, performed text analytics, and created visualizations using R, Python, Tableau, and Power BI. I'm proficient in ETL processes, Docker, and CI/CD with Jenkins. My experience spans scripting, database management, and Agile-Scrum development, making me a valuable asset for data-driven solutions.

Expectations

I have around 8 plus years of working experience with different cloud domains AWS and AZURE, I am looking forward to having a conversation about the role you are currently working on. I have designed/architected complex Big data pipelines for Mastercard and BestBuy earlier. I have strong working experience in Spark, Databricks, Python, PL/SQL, ETL, Scala, Snowflake, Cassandra, PostgreSQL, Hadoop, MongoDB, DynamoDB, Kafka, BigQuery, SQL, Power BI to name a few.
As a Senior Data Engineer actively seeking new challenges. I'm reaching out to explore any opportunities that match my extensive experience.

Employment Preferences
Expected Hourly Rate

** USD/hr

Academic Degree
Experience

Total Professional Experience

8 years

Startup Experience

2 years

Big-Tech Companies

4 years

Enterprise Experience

4 years
Skills
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