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Dhamkirti Sisodia

@dhamkirtisisodia

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Aspiring Data Engineer focused on scalable ETL, streaming pipelines, and cloud fundamentals.

India

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What I'm looking for

I seek roles building production-scale data pipelines and ML-backed systems, with opportunities for hands-on engineering, cloud deployment, and growth in data platform responsibilities.

I am a PG-DBDA student specializing in Data Engineering, building scalable batch and streaming ETL pipelines with PySpark, Kafka, and Airflow. I have implemented distributed pipelines processing 5M+ records, optimized Spark transformations, and used Parquet storage to reduce runtimes.

My projects include a Streaming ETL pipeline that improved data quality by 40% and reduced runtime by 35% through partitioning and optimized transformations. I also built an AI Wound Diagnosis system combining CNN classification with RAG, serving models via Flask, using ChromaDB for embeddings and Ollama for LLM integration.

I bring hands-on experience in Docker containerization, vector databases, and AWS Cloud Foundations certification, and I am motivated to apply my engineering skills to production-scale data systems that deliver reliable, performant analytics.

Experience

Work history, roles, and key accomplishments

Junior MERN Stack Developer

Stardust IT Solutions

Mar 2024 - Jun 2024 (3 months)

Developed backend services and scalable REST APIs for a multi-vendor platform managing 1,000+ product records, improving application performance by 25%.

Next.js MongoDB REST APIs Backend Development Performance Optimization Git

Aspiring Data Engineer

Self Employed

Built batch and streaming ETL pipelines using PySpark, Kafka, and Airflow processing 5M+ records, improving data quality by 40% and reducing runtime by 35% through optimized Spark transformations and Parquet partitioning.