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Lakshya Rathee

@lakshyarathee

Message

I build cloud-native data pipelines and migrations that improve analytics performance, reliability, and scale.

India

Message

At Publicis Sapient, I own end-to-end Azure data engineering, from ingestion and migration to production support. I built Azure Data Factory and Databricks pipelines that reduced migration runtime by over 60% while preserving data accuracy.

Across Cloudaeon and Axtria, I've delivered scalable retail, healthcare, and life sciences data platforms using Python, PySpark, SQL, Spark, Snowflake, Airflow, and Matillion. I've also led engineers, modernized legacy C and SAS logic, and built data-quality and reconciliation frameworks for enterprise analytics.

Experience

Work history, roles, and key accomplishments

Current

Senior Associate Data Engineer L2

Current

Publicis Sapient

Jun 2025 - Present (1 year 3 months)

Owns end-to-end data engineering activities including data ingestion, Azure migration, performance optimization, and production support. Designed scalable Azure data pipelines and led migration activities, achieving over 60% reduction in migration runtime.

Azure Data Factory Databricks Python SQL PySpark ETL CI CD Claude AI Microsoft Copilot Data Migration Performance Optimization Metadata Driven Framework Data Reconciliation

Data Engineer

Cloudaeon Pvt Ltd

Aug 2024 - Jun 2025 (10 months)

Engineered high-performance sales data pipelines for a large UK retail client using Databricks, Airflow, Python, and Spark SQL. Led a team of 2 data engineers and implemented data quality frameworks.

Databricks Airflow Python Spark SQL Medallion Architecture Data Quality Snowflake Matillion ETL

Data Engineer

Axtria India Pvt Ltd

Dec 2019 - Aug 2024 (4 years 8 months)

Engineered end-to-end Azure data platforms and optimized ETL pipelines, achieving up to 60% cloud cost reduction. Migrated 50+ SAS scripts to Python and SQL, improving processing time from hours to minutes.