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Sankar BiswasSB

Sankar Biswas

Lead Data Engineer

€250/day
Sofia, BG
8-15 years

Average response time: 1 hour

About Sankar

Lead Data Engineer with 9+ years of experience building reliable and scalable data platforms across AWS and modern big data stacks.

I help companies design and implement production-grade data pipelines, real-time streaming systems, and analytics-ready data warehouses using technologies like Spark, Databricks, Python, SQL, and Airflow.

I’ve led data engineering teams and delivered large-scale data solutions for global companies including EPAM Systems and Intuit, working with high-volume datasets and complex data ecosystems.

My expertise includes ETL architecture, data platform design, pipeline performance optimization, and cloud-native data engineering on AWS and Azure.

Currently exploring LLM-driven data workflows, RAG architectures, and AI-augmented data platforms.

Available for remote freelance projects, consulting, and short-term engagements across Europe with European startups and data teams.
  • English

    Native or bilingual

  • Hindi

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • EPAM Systems
    Lead Data Engineer
    DIGITAL AND IT
    February 2024 - Today (2 years and 4 months)
    Sofia, SF, Bulgaria
    I lead a team managing marketing data pipelines, bringing data from various sources into AWS, and constructing data marts to enhance data analysis capabilities. I played a crucial role in architecting the overall data strategy for the marketing data platform, utilizing Databricks, Spark, Python, SQL, Airflow, AWS EMR, Lambda, S3. Learning & creating POCs on LLM.
    Databricks Python SQL Microsoft Azure DevOps
  • Intuit
    Senior Software Engineer
    September 2021 - February 2024 (2 years and 5 months)
    Bengaluru, Karnataka, India
    I led a team of engineers in architecting and building robust Spark ETL data pipelines on AWS for loyalty and audit data preparation. My role involves designing and developing scalable data architecture, ensuring efficient data processing using technologies like Databricks, Spark, Python, SQL, Airflow, AWS EMR, Lambda, and S3.
    Apache Spark Apache Kafka SQL Python Amazon Web Services
  • Reliance Jio
    Deputy Manager
    TELECOMMUNICATIONS
    August 2020 - September 2021 (1 year and 1 month)
    Kolkata, West Bengal, India
    developed Spark streaming pipelines to process application logs, enabling real-time monitoring of application health. I primarily worked with Scala, Python, and SQL to deliver effective data processing solutions.
    Scala SQL Python Apache Kafka Elasticsearch

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Education

  • B.E.
    Jadavpur University
    2016
    B.E.

Skill set

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