I build reliable, cloud-native data pipelines that turn messy, high-volume data into trustworthy, analytics-ready assets. My sweet spot is the FinTech edge where fraud, risk, and growth analytics meet streaming & batch pipelines, Delta/Medallion architectures, and governed data products.
- 🧩 Core: Python, SQL, PySpark, Airflow, dbt, Kafka, Terraform
- ☁️ Cloud: AWS (Glue, S3, Lambda, Redshift), Azure (ADF, Synapse), GCP (BigQuery)
- 🗄️ Warehousing/Lakehouse: Snowflake, Databricks, Delta Lake, Redshift
- 🔐 Data Ops & Governance: GitHub Actions, CI/CD, lineage/catalog, quality gates
- 🧠 AI/ML-adjacent: feature pipelines, model serving hooks, vector ETL, RAG plumbing
- FinTech pipelines: fraud/risk event ingestion, CDC from OLTP, real-time features for models
- Automation-first data ops: infra-as-code, CI/CD for ELT, unit/data tests, SLAs/SLOs
- AI/ML integration: feature stores, batch/stream feature joins, embedding & retrieval pipelines
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Regulatory Compliance Lakehouse (AWS + Delta + Redshift Spectrum)
Consolidated trade/audit/regulatory data to a governed lakehouse with versioned, queryable history and sub-minute analytics. Result: 2× faster compliance reporting and end-to-end traceability. -
Omnichannel Retail Analytics (Glue + Kafka + Athena)
Real-time ingestion + curated marts powering ROAS and attribution. Result: +35% attribution accuracy and −70% manual reconciliation. -
Reddit → AWS End-to-End Pipeline (Airflow + S3 + Lambda + Quicksight)
Automated ingestion, bronze/silver/gold transforms, and scheduled dashboards. Designed for easy extension into feature engineering and LLM/RAG demos.
Want the technical deep-dive? See my portfolio: https://sid-data-portfolio.lovable.app/
- Design for observability: metrics, data quality tests (schema/constraints/freshness), lineage
- Treat data as a product: clear contracts, SLAs, versioning, documentation
- Automation by default: reproducible environments, templated pipelines, IaC
Python · SQL · PySpark · Airflow · dbt · Kafka · Databricks · Delta Lake · Snowflake · Redshift
AWS Glue · S3 · Lambda · Azure Data Factory · Synapse · BigQuery
Terraform · GitHub Actions · Power BI · Tableau
Open to FinTech data engineering, feature/ML data pipelines, governed lakehouse builds, and AI-powered analytics integrations.
- 📩 Email: saicharansid@gmail.com
- 🔗 LinkedIn: https://www.linkedin.com/in/saicharan-sid/
- 🌐 Portfolio: https://sid-data-portfolio.lovable.app/
If you’re a recruiter: happy to share code walk-throughs, architecture diagrams, and before/after performance metrics.