Abhiraj Karpe

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StatedRésumé
CDC Lakehouse Pipeline
Built an end-to-end CDC pipeline streaming PostgreSQL inserts, updates, and deletes through Debezium and Kafka into Apache Iceberg tables with 1.03s P95 latency. Integrated MinIO, Hive Metastore, and Trino for queryable lakehouse analytics; containerized a 7-service stack for reproducible deployment.
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StatedRésumé
Databricks Taxi Analytics Pipeline
Built an incremental Bronze–Silver–Gold pipeline processing 355M+ taxi trip records with schema normalization, data quality filtering, and deduplication. Designed partition-aware incremental queries that cut data scanned by 89% and execution time by 33%, producing 3 analytics-ready Gold datasets.
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StatedRésumé
Real-Time Crypto Data Engineering Pipeline
Built a real-time pipeline streaming CoinGecko market events through Kafka into Amazon S3 and Snowflake via Snowpipe. Developed incremental dbt transformations with MERGE-based upserts across RAW, STAGING, and GOLD layers, orchestrated with Airflow.
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StatedRésumé
Software Engineering Intern @ Jio Platforms Limited
Converted legacy ADB script outputs from raw text to structured JSON across OTT device/app profiling workflows, reducing storage overhead by 30–40% and cutting downstream parsing time by an estimated ~35%. Optimized memory and CPU profiling workflows for OTT applications and devices, reducing job runtime by an estimated ~20% and improving data collection consistency across device models. Designed and deployed a production ingestion API for crash and profiling data, integrating ADB tooling, custom parsing logic, and database storage into a pipeline used across daily QA test cycles. Built automated collection of device-level metrics (RAM usage, foreground apps, storage stats) using Python and shell scripts, emitting structured JSON for backend ingestion. Debugged data-loss and parsing issues across log parsing, ADB, JSON/TXT handling, and backend database storage, ensuring accurate logging of key fields and improving pipeline reliability.
StatedRésumé
Software Engineer Intern @ Jio Platforms Limited (JPL)
Worked as a Software Engineering Intern on automation, profiling, and data ingestion workflows for OTT devices and applications. • Worked with Python and ADB to automate device interactions and collect application/device profiling data. • Developed and optimized memory and CPU profiling workflows for OTT applications across different device models and configurations. • Built parsing workflows to transform raw ADB/script outputs into structured JSON for easier storage and downstream processing. • Developed a production ingestion API using Node.js and Express.js for crash and profiling data, integrating ADB tooling, custom parsing logic, and database storage. • Worked with REST APIs, JSON-based data processing, database operations, logging, and automation as part of daily QA testing workflows. • Improved profiling and data-processing workflows, achieving measurable reductions in storage overhead, parsing time, and profiling runtime.
StatedRésumé
AWS re/Start Graduate
Amazon Web Services Training and Certification
StatedRésumé
Introduction to Data Engineering
DeepLearning.AI & Amazon Web Services (Coursera)
StatedRésumé
LeetCode and GeeksforGeeks Coding Achievement
Solved 700+ problems on LeetCode; top 0.5% of users in 2025 (Contest Rating: 1575). GeeksforGeeks Coding Score: 313.

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INTERVIEW-VERIFIED CAPABILITY (PROVEN)SELF-DECLARED STACK

GRAPH NODES: 63 · CONNECTIVITY FACTOR: 0.24

ADB: self-declared, 0 evidence items
Airflow: self-declared, 1 evidence items, linked to Project: Real-Time Crypto Data Engineering Pipeline
Amazon Redshift: self-declared, 0 evidence items
Apache Iceberg: self-declared, 1 evidence items, linked to Project: CDC Lakehouse Pipeline
Apache Spark: self-declared, 0 evidence items
Athena: self-declared, 0 evidence items
Auto Loader: self-declared, 0 evidence items
Automation: self-declared, 0 evidence items
AWS CLI: self-declared, 0 evidence items
BigQuery: self-declared, 0 evidence items
Boto3: self-declared, 0 evidence items
Business Analysis: self-declared, 0 evidence items
Business Development: self-declared, 0 evidence items
CDC: self-declared, 1 evidence items, linked to Project: CDC Lakehouse Pipeline
CI/CD: self-declared, 0 evidence items
CloudWatch: self-declared, 0 evidence items
CSS: self-declared, 0 evidence items
Data Modeling: self-declared, 0 evidence items
Data Structures: self-declared, 0 evidence items
Databricks Workflows: self-declared, 0 evidence items
dbt: self-declared, 1 evidence items, linked to Project: Real-Time Crypto Data Engineering Pipeline
Debezium: self-declared, 1 evidence items, linked to Project: CDC Lakehouse Pipeline
Delta Lake: self-declared, 1 evidence items, linked to Project: Databricks Taxi Analytics Pipeline
Docker: self-declared, 0 evidence items
ETL/ELT: self-declared, 0 evidence items
Express.js: self-declared, 0 evidence items
Git: self-declared, 0 evidence items
GitHub: self-declared, 0 evidence items
Glue: self-declared, 0 evidence items
Hive Metastore: self-declared, 1 evidence items, linked to Project: CDC Lakehouse Pipeline
IAM: self-declared, 0 evidence items
Incremental Processing: self-declared, 0 evidence items
Java: self-declared, 0 evidence items
JavaScript: self-declared, 0 evidence items
JSON: self-declared, 0 evidence items
Kafka: self-declared, 2 evidence items, linked to Project: CDC Lakehouse Pipeline, Project: Real-Time Crypto Data Engineering Pipeline
Kotlin: self-declared, 0 evidence items
Lakebase: self-declared, 0 evidence items
Lakeflow Declarative Pipelines: self-declared, 0 evidence items
Lambda: self-declared, 0 evidence items
LangChain: self-declared, 0 evidence items
Linux: self-declared, 0 evidence items
LLM-Assisted Development: self-declared, 0 evidence items
Medallion Architecture: self-declared, 0 evidence items
MinIO: self-declared, 1 evidence items, linked to Project: CDC Lakehouse Pipeline
MongoDB: self-declared, 0 evidence items
MySQL: self-declared, 0 evidence items
Node.js: self-declared, 0 evidence items
OpenAI API: self-declared, 0 evidence items
PostgreSQL: self-declared, 1 evidence items, linked to Project: CDC Lakehouse Pipeline
Postman: self-declared, 0 evidence items
Prompt Engineering: self-declared, 0 evidence items
PySpark: self-declared, 1 evidence items, linked to Project: Databricks Taxi Analytics Pipeline
Python: self-declared, 0 evidence items
RAG: self-declared, 0 evidence items
REST APIs: self-declared, 0 evidence items
S3: self-declared, 1 evidence items, linked to Project: Real-Time Crypto Data Engineering Pipeline
Snowflake: self-declared, 1 evidence items, linked to Project: Real-Time Crypto Data Engineering Pipeline
Snowpipe: self-declared, 1 evidence items, linked to Project: Real-Time Crypto Data Engineering Pipeline
SQL: self-declared, 0 evidence items
TypeScript: self-declared, 0 evidence items
Unity Catalog: self-declared, 1 evidence items, linked to Project: Databricks Taxi Analytics Pipeline
Vector Databases (ChromaDB): self-declared, 0 evidence items

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Career chronology

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Trajectory timeline

Software Engineering Intern
Jio Platforms Limited
2026-01-01 — 2026-07-01
Software Engineer Intern
Jio Platforms Limited (JPL)
2026-01-01 — 2026-07-01
Ajeenkya D.Y. Patil University
B.Tech
2022 — 2026
Ajeenkya D Y Patil University
2022 — 2026
JAIN INTERNATIONAL SCHOOL AURANGABAD - India
2021 — 2022
The Stepping Stone School - India
2020 — 2021
Tender Care Home
2020 — 2020

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Claims you can check

CDC Lakehouse Pipeline

Databricks Taxi Analytics Pipeline

Real-Time Crypto Data Engineering Pipeline

Software Engineering Intern @ Jio Platforms Limited

Software Engineer Intern @ Jio Platforms Limited (JPL)

AWS re/Start Graduate

Introduction to Data Engineering

LeetCode and GeeksforGeeks Coding Achievement

What Abhiraj can prove

Shipped work

Getting better, on the record

Career chronology

Hiring for Data Engineer?