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Aditya Salabh

@adityasalabh

Data Engineer building production ETL/ELT and streaming pipelines on AWS, powering real-time analytics with strong data quality.

India

Message

What I'm looking for

I’m looking for a role where I can build production ETL/ELT and streaming pipelines on AWS/lakehouse tech, own data quality and observability, and work with real-time use cases that demand performance and reliable SLAs.

I’m a Data Engineer with 2.5+ years building production ETL/ELT and streaming pipelines on AWS. I’ve shipped data infrastructure for ad-tech aggregation (1M+ daily events), AI-driven compliance processing, and fraud detection—always with a focus on performance, reliability, and measurable outcomes.

In my recent roles, I built ingestion services against compliance REST APIs (Redis caching cut upstream calls 60% and reduced P95 latency from 3s to 500ms) and engineered an LLM-augmented extraction pipeline that processed 5K+ documents/day at 95%+ accuracy. I’m hands-on with lakehouse patterns (Apache Iceberg, S3 Tables, dbt) and real-time systems (Kafka, Spark Structured Streaming, Airflow), and I’m excited to grow in teams that value data quality, testing, and production-ready engineering.

Experience

Work history, roles, and key accomplishments

Software Engineer (Data Infra)

Zerberus Technology

Feb 2025 - Sep 2025 (7 months)

Built an ingestion service against compliance REST APIs, using Redis caching to cut upstream calls by 60% and reduce p95 latency from 3s to 500ms while sustaining 10K+ requests/day. Engineered an LLM-augmented pipeline to extract structured records from unstructured compliance documents, processing 5K+ docs/day at 95%+ accuracy and reducing manual labeling effort by 70%.

Redis Data Ingestion Data Structuring Accuracy Quality Optimization

Data Engineer (Associate)

Taiyo.AI

Aug 2024 - Nov 2024 (3 months)

Optimized ETL pipelines across 5+ datasets using PySpark and Pandas, reducing processing time by 35% and improving SLA to 98%+ while validating 2M+ daily records. Automated AWS-based ingestion (S3, Lambda) with Docker and added error handling/validation to cut deployment time by 50%.

Pyspark Pandas ETL Data Validation AWS S3 AWS Lambda Docker Error Handling Data Ingestion

Backend Developer (Data)

Xamtac Consulting

May 2023 - Aug 2024 (1 year 3 months)

Built a multi-source data extraction system aggregating Google Ads and Meta APIs, transforming 1M+ daily events into Django dashboards with 99.9%+ reliability. Orchestrated 40+ AWS EC2 pipeline refreshes, reducing manual refresh time by 40% and eliminating weekend on-call, while implementing transformation logic and data quality checks to catch 99%+ anomalies.

Data Extraction AWS EC2 data transformation Data Quality Query Optimization

Education

Degrees, certifications, and relevant coursework

Amazon Web Services (AWS)

AWS Certified Data Engineer – Associate, Data Engineering

Working toward the AWS Certified Data Engineer – Associate certification.

CloudyML

Advanced Data Engineering Bootcamp (with Internship), Data Engineering

2025 - 2026

Activities and societies: Capstone: end-to-end production ELT pipeline on AWS (3M+ rows, Iceberg, Airflow, dbt, lakehouse architecture). Internship: Kafka streaming pipeline to S3/Parquet/Hive with Athena + QuickSight insights.

Completed the CloudyML Advanced Data Engineering Bootcamp with internship experience, including an end-to-end production ELT pipeline capstone on AWS.