Bhaswanth Kanaparthi
Data Engineer | Expert in Cloud Data Pipelines, ETL Automation & Real-Time Analytics | Python, SQL, Spark | AWS, GCP, Snowflake, Redshift | Driving Scalable, Insight-Driven Solutions
- Role
- Data Engineer at M&T Bank
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Bhaswanth Kanaparthi
AI / Machine Learning Engineer with 5+ years of experience building scalable ML and…
Experience
Data Engineer
Nov 2024 — Present · US
Developed and maintained scalable, production-grade ETL pipelines using Python, SQL, and Apache Airflow, enabling clean, reliable data flow from diverse internal and external sources to cloud data warehouses. • Engineered data models and built data marts in AWS Redshift and Snowflake, supporting cross-functional analytics for business intelligence, customer insights, and operational reporting. • Created automated data validation checks and implemented monitoring systems to detect anomalies, reduce data downtime, and ensure end-to-end pipeline health and compliance. • Partnered with data scientists, analysts, and stakeholders to translate business requirements into robust data pipelines, delivering datasets optimized for ML, dashboards, and real-time reporting. • Leveraged AWS services (S3, Lambda, Glue, EC2) for cloud-native development, ensuring scalability, cost efficiency, and performance across data workloads. • Applied CI/CD practices using Git and Docker to streamline code deployment, enforce version control, and support agile development in a collaborative environment. • Improved data discoverability and governance by building internal documentation, managing schema versioning, and contributing to data catalog standards. • Ensured pipelines followed industry best practices and were easily portable across sectors (finance, e-commerce, healthcare, SaaS), making solutions domain-agnostic and future-proof.
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