Open to opportunities

Prerana Vichare

@preranavichare

Message

I build cloud-native data pipelines, streaming platforms, and data observability systems at global scale.

India

Message

At Capgemini, I own end-to-end Ratings & Reviews data pipelines on Databricks for a global FMCG client, supporting 19+ product categories and 25+ global markets. I was promoted from Analyst to Senior Analyst for delivering production PySpark ETL, migration work from Dataiku to Databricks, and reliable analytics refresh cycles.

I've also built independent platforms for real-time payment intelligence, data observability and governance, and developer ecosystem analytics. My work applies production patterns including Kafka streaming, watermarking, SCD Type 2, dead-letter queues, schema drift detection, data contracts, lineage, RAG, and LLM-powered incident automation.

Experience

Work history, roles, and key accomplishments

Current

Senior Analyst – Data Engineering

Current

Capgemini

Jul 2026 - Present (2 months)

Owns end-to-end Ratings & Reviews data platform with PySpark pipelines across 19+ product categories and 6+ regional markets on Databricks with Medallion Architecture. Builds PySpark ETL pipelines for monthly consumer analytics refresh cycles across 25+ global markets.

PySpark Databricks Medallion Architecture ETL Azure DevOps CI CD Power BI

Analyst – Data Engineering

Capgemini

Nov 2024 - Jun 2026 (1 year 7 months)

Built PySpark ETL pipelines on Databricks processing consumer analytics across 25+ global markets and R&R analytics pipelines across 19+ categories. Developed multilingual normalization workflows using RoBERTa, mBERT, and GPT-4o, and a RAG-based Agentic AI proof-of-concept using LangChain and pgvector.