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Ashish kumar

Passionate data engineer with 4+ years of expertise and proven track record in designing scalable data solutions. Eager to contribute technical acumen to innovative projects and drive impactful results in dynamic and collaborative environment.
  • Role

    Sr Data & Akka Engineer

  • Years of Experience

    6.5 years

Skillsets

  • Play
  • IntelliJ
  • JavaScript
  • JUnit
  • Kafka
  • Kinesis
  • Lambda
  • Material-UI
  • Matplotlib
  • NIFI
  • NumPy
  • pandas
  • HTML
  • Postgres
  • PostgreSQL
  • PyCharm
  • Qaas
  • react
  • Redis
  • Redshift
  • S3
  • VS Code
  • Graphanna
  • Apache play
  • BigQuery
  • Python - 5 Years
  • C
  • Scala
  • SQL - 5 Years
  • Apache Spark
  • Airflow
  • Akka
  • Apache Hudi
  • Apache Superset
  • Athena
  • AWS
  • Java
  • C++
  • CSS
  • Docker
  • DynamoDB
  • Eclipse
  • ELK
  • EMR
  • Flask
  • Git
  • Glue
  • Hive

Professional Summary

6.5Years
  • Jun, 2025 - Present 6 months

    Senior Data Engineer

    Target
  • Jan, 2024 - Jun, 20251 yr 5 months

    Senior Data Engineer

    Flipkart
  • Jul, 2019 - Aug, 20245 yr 1 month

    Data Engineer

    Jio Platforms

Applications & Tools Known

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    Apache Spark

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    ELT

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    HDFS

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    Apache Hive

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    SQL

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    Presto

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    Elasticsearch

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    Superset

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    Kibana

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    Grafana

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    Tableau

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    Linux

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    GitHub

Work History

6.5Years

Senior Data Engineer

Target
Jun, 2025 - Present 6 months
    Designed and developed robust data pipelines to deliver real-time campaign data for end users. Built scalable ETL workflows for efficient ad performance tracking and campaign analytics. Collaborated with cross-functional teams to ensure data integrity and low-latency access.

Senior Data Engineer

Flipkart
Jan, 2024 - Jun, 20251 yr 5 months
    Designed a secure, scalable data platform for merchants to access and analyze historical order data. Implemented Spark-based data pipelines for real-time analytics and improved query performance. Engineered automated workflows for offer accounting, bank reconciliation, and financial reporting. Built Spark jobs for revised burn computation and monthly accrual validation with minimal manual intervention.

Data Engineer

Jio Platforms
Jul, 2019 - Aug, 20245 yr 1 month
    Architected and implemented a reconciliation and settlement system across multiple financial transaction platforms. Enabled seamless integration with NPCI and other external entities, improving transparency and reliability. Automated file transfers, exception alerts, and MIS reporting pipelines for reconciliation.

Achievements

  • Creation of Real-time Transaction Update System with Sound/Voice Box
  • Implementing Extensive Data Quality Validation for Dependable and Precise Processing
  • Fortifying Data Governance: Ensuring Compliance, Security, and Ethical Data Use Throughout its Lifecycle
  • Jio Payments Bank Migration and Holistic Platform Development
  • Merchant-Focused Use Case: Enhancing Order History for Improved Business Transactions
  • Transitioning from HDP to CDP Hadoop Components
  • Rectifying JSON Data Issues in Production Transactions

Major Projects

5Projects

Sound Box

    Designed and implemented a real-time transaction update system for JFS (RPSL), incorporating a voice box/sound box solution. Enabled retrieval of the last and last 5 transactions, conducted user acceptance testing, and refined the system based on feedback. Enhanced transaction monitoring using Spark with Scala.

Recon and Settlement Framework

    Engineered a comprehensive framework for transactional systems to manage operational needs across multiple databases for reconciliation, exception handling, MIS, and analysis. Scheduled transmissions of reconciliation files and thorough comparisons across disparate systems.

Data Quality Checks

    Ensured dataset completeness and accuracy by validating fields, maintaining consistency, standardizing representations, eliminating duplicates, and implementing security measures for sensitive data.

Robust Data Governance

    Adhered to data governance policies by auditing processes, defining data ownership, enforcing access controls, integrating quality checks, and establishing ethical guidelines.

Order History for Merchants

    Implemented a robust order history use case in Spark with Scala, featuring a portal for merchants to securely access, search, and analyze detailed order information.

Education

  • B.Tech in Computer Science and Engineering

    NIT Durgapur (2019)

  • Higher Secondary Certificate

    Patna High School (2014)