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Deepa Nandi

Associate @JP Morgan Chase & Co. || Freelancer || Ex-Accenture || Ex-TCS @Digital Cadre || AWS || GCP || Azure Databricks || Azure Data Factory || Big Data || Python || Java || Scala || PySpark || Snowflake

Bengaluru

5+ years of work experience

JPMorganChase
Sep 20251 yr 1 moPresent

Bengaluru, Karnataka, India

Accenture in India
Oct 202411 mosAug 2025

Bengaluru, Karnataka, India

Tata Consultancy Services
Feb 20231 yr 9 mosOct 2024

Bengaluru, Karnataka, India

As a Data Engineer in the banking domain, my role primarily involves designing and implementing data transformations to process large-scale financial data using PySpark. I work with complex datasets, applying transformations such as data cleansing, aggregation, filtering, and joining to derive actionable insights. My focus is on building efficient and optimized Spark jobs that can handle high-volume transactional data, ensuring the integrity and accuracy of the transformations. In the banking context, I work with data related to transactions, account activity, customer behavior, and regulatory reporting. I also ensure compliance with industry standards, implement data validation checks, and collaborate with data scientists and analysts to provide clean, structured data for advanced analytics, fraud detection, risk modeling, and reporting.
Tata Consultancy Services
Feb 20221 yr 1 moFeb 2023

Bengaluru, Karnataka, India

Tata Consultancy Services
Feb 20211 yr 1 moFeb 2022

Bengaluru, Karnataka, India

Deepa’s AI Stack

claude
claude
codex
codex
github copilot
github copilot
openai
openai
windsurf
windsurf

Education

University of Calcutta

Bachelor's degree, Computer Science

University of Calcutta

20163 yrs2019

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Headline

Associate @JP Morgan Chase & Co. || Freelancer || Ex-Accenture || Ex-TCS @Digital Cadre || AWS || GCP || Azure Databricks || Azure Data Factory || Big Data || Python || Java || Scala || PySpark || Snowflake

About

Data Engineer with nearly 7 years of experience designing, building, and supporting scalable data platforms and distributed data-processing systems across banking and enterprise environments. Hands-on experience developing high-volume batch and streaming data pipelines using Python, SQL, PySpark/Spark, Kafka, Hadoop, and cloud technologies across AWS and GCP. Strong expertise in distributed data processing, data modeling, ETL/ELT, pipeline optimization, data quality, and performance tuning, with experience supporting business-critical production systems across hybrid on-premises and cloud environments. Skilled in troubleshooting complex data and production issues, improving pipeline reliability and scalability, and working with large-scale datasets. Experienced in collaborating across engineering and business teams to translate complex requirements into reliable, maintainable data solutions. Passionate about solving challenging data problems, optimizing large-scale architectures, and building high-performance data platforms that enable analytics and data-driven decision-making.

Location

Bengaluru

AI stack

claude

codex

github copilot

openai

windsurf

Work experience

Associate at JPMorganChase, Sep 2025 - Present · 1 yr 1 mo, Bengaluru, Karnataka, India

Senior Data Engineer at Accenture in India, Oct 2024 - Aug 2025 · 11 mos, Bengaluru, Karnataka, India

System Engineer at Tata Consultancy Services, Feb 2023 - Oct 2024 · 1 yr 9 mos, Bengaluru, Karnataka, India, As a Data Engineer in the banking domain, my role primarily involves designing and implementing data transformations to process large-scale financial data using PySpark. I work with complex datasets, applying transformations such as data cleansing, aggregation, filtering, and joining to derive actionable insights. My focus is on building efficient and optimized Spark jobs that can handle high-volume transactional data, ensuring the integrity and accuracy of the transformations. In the banking context, I work with data related to transactions, account activity, customer behavior, and regulatory reporting. I also ensure compliance with industry standards, implement data validation checks, and collaborate with data scientists and analysts to provide clean, structured data for advanced analytics, fraud detection, risk modeling, and reporting.

Assistant System Engineer at Tata Consultancy Services, Feb 2022 - Feb 2023 · 1 yr 1 mo, Bengaluru, Karnataka, India

Programmer at Tata Consultancy Services, Feb 2021 - Feb 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India

Education

Bachelor's degree, Computer Science, University of Calcutta