Akash is a Data Engineer with 5+ years of experience in data engineering and cloud-based solutions. He has a strong background in Python and AWS, with proven expertise in designing ETL pipelines and optimizing data workflows.
Designed event-driven ETL pipelines with AWS Lambda and Redshift.
Optimized Redshift queries for analytical workloads aligned with Snowflake best practices.
Built secure APIs with JWT-based authentication for various applications.
Collaborated in Agile sprints for continuous integration and deployment.
Built AIDCC + DailySabji + QwikBill + Book_Store
Overview: Designed a cloud-native OCR + LLM-powered classification pipeline that extracts, validates, and summarizes structured information. Responsibilities: Designed event-driven ETL pipelines with Lambda + Redshift, onboarded unstructured data, optimized Redshift queries for analytical workloads, integrated secure workflow notifications via SNS, provisioned infra with Terraform.
Overview: Grocery delivery platform supporting wallet management, promotions, and real-time order handling. Responsibilities: Designed RDS schemas for transactions & inventory, built ETL workflows to process user/order data from S3 + Lambda, ensured secure data handling & authentication, deployed backend APIs via Docker containers on EC2 + ECR.
Overview: QwikBill is a mobile application built to streamline invoicing, product management, and vendor information for small businesses. Responsibilities: Designed data warehouse schemas in Redshift for invoice & vendor analytics, implemented modular REST APIs with token-based authentication, developed transactional → analytical data flows, collaborated in Agile sprints, CI/CD, and API deployments.
Overview: The Book_Store API is a RESTful API built with FastAPI for managing a simple book database. Responsibilities: Created PostgreSQL schemas with SQLAlchemy, built secure APIs with JWT-based auth, applied query optimization for faster search/listing, containerized deployments with Docker + ECR.
Akash Thapa
Data Engineer Azure