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Aditya Bhandari

@adityabhandari

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Core Engineering Intern building Python data pipelines and distributed backend systems for low-latency reporting.

India

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What I'm looking for

I’m looking for an entry-level role where I can build reliable Python data pipelines and distributed backend systems, own production workflows with Airflow, and improve performance and debuggability while working with strong engineering teams.

I’m a Core Engineering Intern who builds production-grade data pipelines and reporting workflows under strict delivery windows. At Tower Research Capital, I engineered a Python-based pipeline generating 50+ regulatory reports daily across 20+ EMEA exchanges, then extended workflows to Singapore and Hong Kong.

I focus on reliability, performance, and maintainability. I optimized legacy backend workflows to cut pipeline runtime by 33% (45s → 30s), designed and deployed 8 Airflow DAGs with retry/validation/reconciliation, and refactored critical reporting infrastructure to improve stability and debuggability.

I also bring distributed-systems depth from my Tech Analyst Intern experience at Morgan Stanley, where I built a DB2-based synchronization service using application-level locking and reduced backend latency by 60%. I enjoy pairing this engineering work with research and quantitative projects—publishing at IEEE TENSYMP 2024 and building an LSTM + Bollinger Bands/Baselines trading backtesting system in Python.

Experience

Work history, roles, and key accomplishments

Current

Core Engineering Intern

Current

Tower Research Capital

Jan 2026 - Present (5 months)

Engineered a Python-based production data pipeline generating 50+ regulatory reports daily across 20+ EMEA exchanges within strict pre-market delivery windows. Optimized legacy workflows to reduce pipeline runtime by 33% (45s → 30s) and designed 8 Airflow DAGs with automated reconciliation to reduce manual verification during migration from legacy systems.

Python Data Pipelines Airflow Automated Reconciliation Systems Workflow Orchestration Logging Configuration Management Dependency Cleanup

Tech Analyst Intern

Morgan Stanley

May 2025 - Jul 2025 (2 months)

Built a distributed database synchronization service on IBM DB2 using application-level locking to ensure consistency under concurrent access. Implemented multithreaded processing with thread pools to cut backend latency by 60% and added caching for enriched responses, reducing response latency by 83% (12s → 2s).