Open to opportunities

Umit Samanta

@umitsamanta

Message

I build Azure and AWS data pipelines that make enterprise data AI-ready.

India

Message

What I'm looking for

I'm looking to build scalable, secure data platforms for AI and analytics, with opportunities to work on cloud pipelines, real-time ingestion, lakehouse architecture, RAG, and production-grade data quality and observability.

At BT Group, I build end-to-end Azure data pipelines for enterprise AI and reporting platforms, ingesting APIs, SQL databases, SFTP, and flat files. I improved query performance by 50–60% and reduced data availability time by about 40% through partitioning, indexing, and tuning.

I've also delivered lakehouse, CDC, and real-time integration solutions using Azure Data Factory, Synapse, ADLS Gen2, Databricks, AWS, Kafka, and Airflow. I work with RAG, embeddings, vector search, and LLM-integrated data workflows while securing production pipelines with Managed Identity, RBAC, and Key Vault.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

BT Group

Mar 2023 - Present (3 years 5 months)

Built data ingestion pipelines from APIs, SQL databases, SFTP, and flat files into Azure Data Factory, supporting enterprise AI and reporting platforms. Implemented scalable transformations and data quality in Azure Synapse Analytics across Medallion layers, and optimized pipelines for performance and cost.

Data Quality Observability Python SQL PySpark Azure Data Factory Azure Synapse Delta Lake Medallion Architecture CDC Azure DevOps CI CD RBAC Claude Code RAG

Data Engineer

Rinex Technology Pvt. Ltd.

Jul 2022 - Sep 2022 (2 months)

Engineered scalable ingestion and transformation pipelines integrating data from databases, APIs, and third-party systems, applying CDC and incremental-load patterns. Developed data models and implemented data quality validation, optimizing workflows with partitioning, indexing, caching, and vacuuming.

Azure AWS Python SQL PySpark Azure Data Factory Delta Lake CDC Data Modeling Data Quality Partitioning Indexing Caching

Data Analyst

Flipkart

Sep 2021 - Oct 2021 (1 month)

Optimized SQL queries on Amazon S3/Athena, reducing query execution time by 20% and report generation time by 25%. Analyzed large datasets and translated business requirements into SQL queries, reports, and dashboards, improving reporting efficiency by 15%.

SQL S3 Amazon Athena Data Analysis Reporting Dashboarding