Satyaki Sengupta

Senior Data Engineer·Architect

Kolkata, IndiaBuilding in public since Jul 2016 (~10.1 yrs)

Headline

Satyaki

Senior Data Engineer

Your work consistently centers on migrating legacy batch systems to modern streaming and lakehouse architectures, driving measurable cuts in execution time and incident rates.

40 hoursmanual reconciliation effort before automation

1.5+ TB/daydaily data volume processed

45%pipeline execution time reduction

9+upstream systems integrated

Growth trajectory

Satyaki's career, mapped.

A timeline of milestones captured directly from real, verified work.

Jul 2016Entered Big Data

Apr 2019Moved into streaming

Dec 2020Senior Big Data Engineer

Feb 2022Moved to AWS consulting

Dec 2020Cloudera certified

Apr 2024Led lakehouse migration

Apr 2024Specialist Data Engineer

Jul 2016
Entered Big Data
Apr 2019
Moved into streaming
Dec 2020
Senior Big Data Engineer
Feb 2022
Moved to AWS consulting
Dec 2020
Cloudera certified
Apr 2024
Led lakehouse migration
Apr 2024
Specialist Data Engineer

Signals

Live in Production.

Each signal ties back to a specific, evidenced moment - not a self-rating.

Built5

Systems shipped end-to-end, from schema to deploy.

Evidence5 moments →

solved a bug in graphBuilding a GitHub cloneBuilt Siemens finance lakehouse ingesting 1.5+ TB dailyDelivered real-time streaming pipelines for BHP mining analyticsBuilt PepsiCo's real-time fleet telemetry analytics platform

Solved1

Gaps closed - false positives, edge cases, dead ends.

Evidence

Cut data quality incidents 40% with a gold-layer trust platform

Scaled1

Taken from prototype to real production volume.

Evidence

Migrated Marsh McLennan off legacy ETL onto Databricks Lakehouse

Operated1

On-call, incidents, and what happens after launch.

Evidence

Cut SLA breaches 40% across CITI's Hadoop finance platform