

Data Engineer & Backend Engineer with 7+ years of experience building scalable data pipelines, backend systems, and automation frameworks across SaaS, AdTech/Martech , Healthcare, and Travel domains. Strong expertise in Python, distributed systems, and cloud-native architectures.
Proven track record of designing high-availability, low-latency systems and building large-scale data pipelines handling millions of records. Experienced in Warehouse optimization, data quality, and distributed processing (work queue–driven systems) to improve performance, reliability, and cost efficiency.
Hands-on experience in data enrichment and standardization.
Demonstrated ability to reduce manual effort through automation, improve data reliability, and enhance system performance using scalable microservices and serverless architectures.
Languages: Python, Golang, JavaScript
Frameworks and Tools: Django, Flask, DRF and FastAPI, Airflow, Pandas and NumPy
Data Engineering: ETL/ELT, Data Pipelines, Data Quality, and Data Lineage
Architecture and Systems: Microservices, Data Pipeline Architecture, Distributed Processing, Serverless Frameworks, REST
Backend and Processing: Celery, Celery Beat, and RabbitMQ
Databases: Snowflake, PostgreSQL, MySQL, and MongoDB
Cloud & Infra: AWS (S3, SES, SNS, KMS, Lambda, Batch, CloudWatch, EC2, ECS, RDS, API Gateway, EKS), Docker, Git
Search & Caching: Elasticsearch, Manticore, Redis, Memcached
GIS: GeoDjango, Postgres GIS
Frontend: JavaScript, HTML, CSS
Operating Systems: Linux, macOS
AI Tools: Claude Code