Aman Lalwani

Designed and developed orchestrator microservice with Django, Airflow, and Kubernetes SDK to execute and schedule ECR-stored services in Innovaccer, enhancing end-user experience. Designed and developed cost-effective, performance-optimized Data sync platform using Databricks, Apache Kafka, Logstash, and Confluent Kafka. Achieved a 2mn/sec record sync speed for tables with 650+ columns, significantly improving data transfer efficiency, which saves more than 20k dollars every month for Innovaccer as compared to AWS DMS. Designed and developed Django-Kafka project providing CRUD API on Snowflake, Postgres, ElasticSearch, and Redshift, enhancing integration and data manipulation across different datastores. Established CI-CD pipeline for microservices, ensuring high-quality and rapid software updates deployment to production environments. Created a cost-effective serverless framework on AWS Lambda and Step Functions to scrape US Government websites and SFTP Servers, transform the data into classified medical information, and store it in a central DB. Made available to tenant datastores via a cron agent, providing downstream applications access to the data.

Mentored and organized tutorial sessions for Students on DSA, SQL, and Python, etc.

Designed and developed an asynchronous backend API using Django, ORM, Celery, and Oracle as a database. The API allows upstream applications to perform live trading on different types of securities like Futures, Options, Swaps, etc, providing real-time market data and secure transactional capabilities. The system achieved high availability and scalability, handling high volumes of transactions with low latency, and providing traders with a seamless trading experience. Designed and Developed a Data Store API and Report parser that can effectively parse QA automation report files, generate payloads adhering to the API contract and call them to store data in a database. The stored data is then utilized for analytical purposes, enabling insights and decision-making based on the parsed information. Designed and developed an analytics API utilizing Django and Jira API to facilitate issue tracking and sprint planning, providing product managers with an efficient tool for managing team workflows. Created a Flask-based Slack bot API that integrates a custom webhook channel, notifying users of daily execution status and job failures, streamlining monitoring and troubleshooting.