I am a Business-focused Data Engineer with over 3 years of experience in building scalable data pipelines and optimizing ETL workflows, complemented by more than a decade in data analytics. I specialize in SQL, Python, and cloud solutions like Azure and Snowflake, aiming to deliver efficient data-driven solutions. My skills bridge the gap between technical implementation and business needs, ensuring reliable data availability for optimization and decision-making.
Your Achievement, Describe what you did and the impact it had.
Enhancing E-Commerce Agility with Advanced ETL Pipeline, 01/01/70, 01/01/70, A project focused on creating an advanced ETL pipeline for e-commerce agility., Built a Streamlit web app for the Order and Returns teams to upload data files., Set up AWS Lambda triggers to invoke AWS Glue ETL jobs for data transformation., Stored processed data in Redshift, with optional querying via Athena., Designed AWS Step Functions to orchestrate the pipeline., Configured SNS notifications for execution status updates. Social Media Hashtag Trend Analyzer Application, 01/01/70, 01/01/70, A web application that analyzes social media hashtag trends., Built a user-friendly interface for composing posts with hashtags., Used AWS Lambda to process posts and store data in DynamoDB., Implemented real-time trending hashtags with dynamic updates.
Career Interest / Passion
Language, Beginner