Samiksha Tamboli

Data Engineer with 4+ years of experience in ETL/ELT pipeline development, data modeling, and big data processing using SQL, Python, and PySpark. Experienced in Azure Data Factory, ADLS Gen2, and Databricks for building scalable data pipelines. Skilled in Delta Lake, Medallion Architecture, and delivering high-quality, reliable data solutions.

Data Engineer at HCLTECH (2023-09 – Present)

• Designed, developed, and maintained end-to-end data pipelines for transforming insurance policy data using Azure Data Factory and Databricks.
• Implemented Medallion Architecture with data modeling and data warehousing to enable scalable data processing
• Implemented scalable ETL workflows using PySpark to clean, transform, and enrich high-volume structured and semi-structured data from diverse sources such as policy records, claims data, and customer datasets.
• Applied Spark optimization techniques including partitioning and performance tuning to improve processing efficiency
• Orchestrated workflows using ADF, ADLS Gen2, and Databricks; leveraged Delta Lake for ACID compliance, versioning, and reliability

Data Engineer at HCLTECH (2022-06 – 2023-08)

• Worked on Data quality and Performed Data testing and validation for large-scale financial datasets used in reporting and regulatory processes.
• Executed multiple SQL queries on databases to validate source and target data.
• Monitored scheduled batch jobs using AutoSys to track job execution status and failures.
• Used Grafana dashboards to analyze pipeline logs, job performance, and system metrics.
• Supported UAT and regression testing after pipeline enhancements and bug fixes.
• Collaborated with business teams to understand business rules and testing requirements.

Bachelor of Science in Computer Science – Nagpur University (2017 – 2020)

Masters of Computer Application – Nagpur University (2021 – 2023)