About Me
I am an SDE at Ambibuzz with experience building scalable mobile applications using Flutter. I am currently expanding into Data Engineering with a deep focus on data pipelines, ETL processes, and cloud-native solutions.
With a strong foundation in software engineering, I bring the same problem-solving mindset into the data space — aiming to design clean, efficient, and impactful systems.
I am deeply driven by continuous learning and believe that sharing knowledge creates collective growth. Alongside my professional work, I actively explore and build projects that blend software development and data engineering to sharpen my skills and create real-world impact.
Selected Experience
Data Pipeline Architecture
Designed and developed the Import & Export Layer for a forecasting and recommendation platform. Enabled fully configurable data pipelines across AWS S3, Google BigQuery, ERPNext (Frappe Doctypes), and REST APIs. Built reusable ETL modules for ingestion, cleaning, and structured exports.
Analytics Automation
Built automated workflows to trigger BigQuery Data Transfer Service (DTS) jobs from ERPNext, enabling seamless movement of data from S3 into the warehouse. Worked on extensive data preprocessing and cleaning for the Forecasting Layer to ensure high-quality datasets for model training and inference.
Mobile & System Engineering
Engineered the Bluetooth communication layer for a Home Automation app, handling multiple simultaneous device connections without performance loss. Developed B2B and B2C FMCG mobile applications on Shopify using GraphQL and AWS Lambda for seamless multi-platform experiences.
DevOps & Workflow Automation
Managed CI/CD pipelines and deployments to ensure reliable releases and faster delivery cycles. Developed social media content generation pipelines and market analysis workflows using n8n to drastically reduce manual effort.