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
7.58 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
7.58Years
- Jun, 2025 - Present 10 months
Senior Data Engineer
- Sep, 2024 - Present1 yr 7 months
Senior Data Engineer
- Jul, 2019 - Sep, 20245 yr 2 months
Data Engineer
Jio Platforms Limited (JPL)
Applications & Tools Known
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Apache Spark
ELT
HDFS
Apache Hive
SQL
Presto
Elasticsearch
Superset
Kibana
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Grafana
Tableau
Linux
GitHub
Work History
7.58Years
Senior Data Engineer
Jun, 2025 - Present 10 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
Sep, 2024 - Present1 yr 7 months
Data Engineer
Jio Platforms Limited (JPL)Jul, 2019 - Sep, 20245 yr 2 months
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)