---
title: "Aditya Salabh - Software Engineer - SDE 1 (Data Infrastructure) in Patna | Tal"
description: "Meet Aditya Salabh, Data Engineer | PySpark, Airflow, AWS | ETL/ELT Pipelines | Scalable Analytics Systems based in Patna."
image: "https://tal.club/meet/aditya-131/share-image"
---

# Aditya Salabh on Tal

## Headline

Data Engineer \| PySpark, Airflow, AWS \| ETL/ELT Pipelines \| Scalable Analytics Systems

## About

Data Engineer building high\-throughput ETL/ELT pipelines on AWS\. I design and orchestrate data pipelines that ingest, transform, and deliver analytics\-ready datasets at scale\. Most recent: built a Sales Analysis Pipeline processing 3M\+ rows per batch, reducing manual reporting effort by 70% and enabling real\-time business intelligence\. What I do: • Engineer end\-to\-end data pipelines using PySpark and Airflow \(TaskFlow API\) • Build data ingestion systems that aggregate multi\-source APIs \(GA, Ads, email services, internal APIs\) • Design ETL workflows that cut report generation time by 80%\+ while improving data quality • Architect monitoring and structured logging for pipeline reliability and observability What I solve for: Data accessibility: Turn fragmented, real\-time data sources into unified, trusted datasets Speed: Automate reporting workflows that took hours, now running in minutes Reliability: Implement data quality checks, alerting, and failure detection that catch issues before they hit analytics Technical Stack: Python, PySpark, Airflow, AWS \(S3, EC2, RDS, Lambda\), Pandas, Grafana, structured logging, data quality frameworks Currently: Open to Data Engineer roles at companies building data infrastructure, analytics platforms, or data\-driven products\. Interested in: ML infrastructure, real\-time streaming, data warehouse optimization, and solving data engineering at scale\.

## Location

Patna

## Work experience

Software Engineer \- SDE 1 \(Data Infrastructure\) at Zerberus\.ai, Feb 2025 \- Sep 2025 · 8 mos, London, England, • Designed compliance data architecture: Built FastAPI backend service to aggregate, normalize, and serve compliance check results and policy generation outputs; architected data models to support real\-time querying across 10K\+ compliance rules\. • Implemented data ingestion pipeline: Created service to stream compliance check execution results into structured storage; enabled audit trails and compliance reporting queries that scaled to 100K\+ daily events\. • Optimized data query performance: Reduced compliance check lookup latency by 40% through indexing strategy and query optimization; improved end\-user experience for policy generation product\.

Data Engineer \(Associate\) at Taiyō\.AI, Aug 2024 \- Nov 2024 · 4 mos, Berkeley, California, United States, • Built data processing pipeline for ML training data: Engineered Python scripts to extract, clean, and prepare training data from multiple sources; processed and validated 500K\+ records to ensure data quality for model training\. • Optimized data pipeline performance: Refactored data processing workflows to reduce execution time by 60%, enabling faster iteration cycles for model experimentation and improving CI/CD pipeline throughput\.

Back End Developer at Xamtac Consulting, Feb 2023 \- Aug 2024 · 1 yr 7 mos, • Architected Grafana\-based monitoring and observability: Built structured logging framework and monitoring dashboard to track pipeline health, data freshness, and API performance; reduced failure detection time from 6\+ hours to 15 minutes \(80% improvement\), enabling faster incident response\. • Optimized API and database queries: Analyzed slow queries and API bottlenecks; implemented caching strategy and query optimization that reduced latency by 45% and improved system throughput\.

Backend Developer Intern at Xamtac Consulting, Feb 2023 \- May 2023 · 4 mos, Chicago, Illinois, United States

## Education

Btech\(CSE\), cse, Amity University Patna

[View the original profile](https://tal.club/meet/aditya-131)

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