Divyang Bissa

Backend Engineering & API Development

• Integrated user-facing front-end components with robust server-side logic to deliver seamless web experiences

• Built modular, reusable code libraries for scalable and maintainable backend services

• Optimized applications for speed and scalability through efficient code design and system tuning

• Implemented security best practices, including data protection mechanisms and vulnerability mitigation

• Designed and maintained secure, high-performance data storage solutions

• Collaborated cross-functionally with frontend teams to ensure smooth UI-backend integration

• Debugged and resolved critical issues in production systems, enhancing application reliability

• Researched and adopted modern backend development best practices and emerging technologies

• Authored detailed technical documentation for APIs and data schemas to support team collaboration

Database Engineering & Performance Tuning

• Refactored and optimized complex SQL queries, leveraging indexing and best practices to improve performance

• Developed and maintained real-time data pipelines using PostgreSQL CDC events, Debezium, and NATS for high-throughput data streaming

• Implemented effective caching strategies across application layers to reduce latency and improve performance

Data Engineering & Workflow Orchestration

• Designed, developed, and deployed ETL pipelines from scratch, ensuring end-to-end data flow reliability

• Built batch processing workflows using Prefect and Mage for large-scale data transformation

• Utilized Apache Airflow and Prefect for orchestrating automated and fault-tolerant data workflows

• Performed data wrangling using Python and SQL to cleanse and transform raw data into analytics-ready formats

• Developed ELT pipelines using Airbyte for efficient data ingestion and transformation across heterogeneous sources

• Deployed scalable, containerized data solutions using Docker and Kubernetes in open-source environments

• Leveraged DBT to design and implement modular, incremental data models in PostgreSQL, streamlining data workflows and supporting analytics use cases

DevOps & Testing

• Implemented automated unit testing for backend systems to ensure code reliability and reduce regression bugs

• Maintained source control using Git for version tracking and collaborative development

• Optimized database queries by utilizing indexing techniques in postgresql
• Investigated emerging technologies related to the project scope for potential implementation such as graylog ELK and EFK stack
• Developed and implemented algorithms to optimize data processing of the existing data
• Analyzed large datasets using SQL to identified scope of optimizing the implementation and queries if required
• Converting monolithic code to a microservices-based code structure and style involves a systematic approach to rearchitecting the software into smaller independent services

• Core member in building Foresight Engine - the flagship product of Ai Palette, which enable FMCG companies to make better business decisions based on geography and food trends
• Developing rest based services using Django 2.x.1 and python 3.7
• Database Designing based on the new Features to enable Data Visualization
• Scripts For Data Collection aggregation and analytics using Pandas
• Developing Data transformation pipelines to pull the data from Elasticsearch and apply transformations and storing into the RDBMS
• Redesign architecture leveraging AWS services like Lambda, Elastic Beanstalk, S3, etc
• Efficiently maintaining the management commands that transform data from on Elasticsearch

• Internal Support Platform: Developed Restful web services on Django Framework
• Wrote Async and sync task using celery and rabbitmq as the message broker
• Maintained the Support Platform
• Wrote Unit test cases for Code written and used the mock library in order to bypass certain calls during code Coverage test
• Corporate Fixed Deposit Platform: Developed Restful web services on Django Framework and Django-rest Framework
• Designed The database based on the Financial Requirements
• Designed the Platform's user experience journey and The backend Architecture Pattern

• Developed web applications in Django Framework's model view control (MVC) architecture and Developed with Python 3.x and Django 1.9 web framework, Python 2.x with Flask
• Involved in building database Model, APIs and Views utilizing Python, in order to build an interactive web based solution
• Involved in the sprint planning and design of frontend and backend APIs and responsible for the timely delivery of sprint tasks
• Wrote Python modules to extract/load asset data from the MySQL source database
• Designed and implemented a dedicated MYSQL database server to drive the web apps and report on daily progress
• Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface
• Worked as a developer for 2 products for the entire SDLC lifecycle starting from data modelling to deployment of the product
• Worked on Oauth v2 protocol for setting up different single Sign-on
• Google, Clever and office365