Supravat B.

About Supravat B.

I’m a Data Engineer who loves turning complexity into clarity. For me, data isn’t just numbers sitting in a warehouse — it’s the story of a business waiting to be told. I thrive on building pipelines and architectures that don’t just move data around but unlock insights, empower decisions, and fuel growth.Over the years, I’ve worked with modern tools and platforms like SQL, Python, Spark, Databricks, and cloud ecosystems (AWS, Azure, GCP) to design scalable data systems. My passion lies in solving problems at the intersection of engineering and analytics — ensuring that data flows seamlessly, stays trustworthy, and becomes a real asset for the people who use it.What excites me most is the impact. A well-designed pipeline is more than a technical achievement; it’s the backbone of smarter strategies, stronger products, and faster innovation. I see my role not just as an engineer, but as a bridge — connecting raw data to real-world decisions.I’m constantly learning, experimenting, and pushing boundaries in the world of data engineering. Whether it’s optimizing big data workflows, architecting new solutions, or exploring the future of real-time analytics, I’m always curious about what’s next.

Experience

1. Associate Data Engineer

   Tredence Inc.

   Jul 2025 — Present · Kolkata, IN

   As an Associate Data Engineer at Tredence, I work on designing, developing, and maintaining scalable data pipelines and solutions using modern big data technologies. My role primarily involves working with PySpark and Databricks to process and transform large volumes of data efficiently. I collaborate closely with data scientists, analysts, and business stakeholders to ensure data quality, performance, and availability.I am actively engaged in building end-to-end data workflows on the Azure Cloud ecosystem, utilizing services like Azure Data Factory, Azure Data Lake Storage, Azure Synapse, and Azure DevOps to orchestrate and manage data engineering tasks.Key responsibilities-Develop and optimize distributed data processing jobs using PySpark and Databricks-Design and implement data pipelines for batch and real-time data processing.Ensure data quality, integrity, and security across systems-Collaborate with cross-functional teams to deliver data-driven solutions-Deploy and monitor workloads on Azure Cloud using industry best practices.This role has equipped me with hands-on experience in modern data engineering tools and cloud technologies, enabling me to contribute to high-impact data initiatives that drive business outcomes.

Education

• Indian Institute of Technology, Madras

  Advance machine learning certificate , Data science

• Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT

  Bachelor of Technology - BTech