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Krisi JainKJ
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Krisi Jain

@krisijain

Data Engineer @PwC India

India
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What I'm looking for

I’m looking to build and own production-grade real-time and batch data pipelines, focusing on data quality, validation, and root-cause problem solving. I want to work end-to-end with Spark/Python on AWS and collaborate to improve reliability for downstream consumers.

I like making things work—building pipelines from scratch and digging into what went wrong when records don’t add up. I’ve spent almost four years at PwC India shipping production data systems, with a strong focus on the data that sits downstream of everything I build.

Across real-time and batch workloads, I’ve designed ingestion and validation layers, performed root-cause analysis on data inconsistencies, and backfilled long histories to keep consumers trusted. I work across Python, Spark, AWS, and Airflow, and I’m energized by the problem solving in between the tools, whether that’s optimizing DynamoDB indexing, accelerating transformations, or improving dataset readiness for ML training and inference.

Experience

Work history, roles, and key accomplishments

PwC India logoPI

Associate, Data Engineer

PwC India

Apr 2025 - Apr 2026 (1 year)

Designed and maintained real-time and batch pipelines processing 1M+ customer consent records to ensure accurate opt-in/opt-out tracking. Performed root-cause analysis on ~250K inconsistent records, fixed ingestion logic, backfilled 12+ months of history, and optimized DynamoDB indexing to reduce query latency by ~50%.

PwC India logoPI

Analyst, Data Engineer

PwC India

Aug 2022 - Mar 2024 (1 year 7 months)

Built core pipeline modules for a low-code ETL platform enabling drag-and-drop workflow creation for enterprise users. Developed and maintained Java REST APIs to integrate backend services with the data platform and ensure reliable data flow across pipeline components.

Education

Degrees, certifications, and relevant coursework

St. Xavier's College, Mumbai logoSM

St. Xavier's College, Mumbai

Bachelor of Science, Mathematics

2019 - 2022

Grade: 8.27/10 (CGPA)

Completed a B.Sc. in Mathematics, achieving a CGPA of 8.27/10.

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