Sagnik Mukherjee
@sagnikmukherjee
Experienced Data Engineer specializing in scalable ETL pipelines and cloud data platforms.
What I'm looking for
I am an experienced Data Engineer with three years building scalable batch data platforms across Azure, OCI, and Databricks, primarily in supply chain and e-commerce. I have improved data freshness by up to 95% and reduced compute costs by 34% through optimized PySpark pipelines and architecture decisions.
At Oracle I led cross-functional initiatives standardizing ingestion across 12+ sources, implemented ADLS Gen2 RBAC for self-service analytics, and mentored teams to deliver faster, traceable reporting that cut RCA and QA escalations significantly. I seek roles where I can architect cost-effective, observable ETL platforms, collaborate with stakeholders, and mentor junior engineers.
Experience
Work history, roles, and key accomplishments
Led design and delivery of a batch data platform using Azure Data Factory to improve data freshness by 95% and directed a team of 3 to optimize PySpark pipelines on Azure Databricks, achieving 40% faster dashboard refreshes; unified ingestion across 12+ sources, reducing QA escalations by 70% and cutting access requests by 30%.
Developed robust PySpark ETL pipelines on OCI Data Flow processing 50TB full loads and 30GB daily incrementals, reduced compute cost by 34% via Spark optimizations, and implemented centralized monitoring and alerting that cut RCA time by 60%.
Education
Degrees, certifications, and relevant coursework
Heritage Institute of Technology
Bachelor of Technology, Applied Electronics and Instrumentation Engineering
2018 - 2022
Grade: 8.96/10
Completed Bachelor of Technology in Applied Electronics and Instrumentation Engineering at Heritage Institute of Technology, Kolkata (Jul 2018–Jul 2022) with a CGPA of 8.96/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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Social media
Job categories
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