Tridip Das Email and Phone Number

• Building DataSteroid, a groundbreaking no-code/low-code platform empowering engineers to build andorchestrate data pipelines seamlessly..• Leading a data engineering team supporting a major US healthcare company, unlocking valuable insights forinformed decision-making.

• Designed and optimized the core modules for a healthcare-based startup(Techstar'22 portfolio company and selected for TechCrunch Disrupt'22) using GraphQL, Flask, Neo4J, MySQL, Elastic Beanstalk,etc • Building data engineering projects using Pyspark, Snowflake, DBT, Sisense, OracleDB, Airflow, AWS.

• Responsible for development of modules, web applications and data engineering pipelines using Python. • Designed new modules and optimised the existing codebase of an early-stage B2B SaaS startup. Created a Slack app containing the entire functionality of their system including Oauth/OpenID implementation, loggers and relevant database models with low latency and maximum efficiency.• Responsible for building a real-time aggregation platform for the Russell 3000 Index, an equity index of 3,000 of the most extensive US-traded stocks.• Responsible for the data ingestion,preprocessing and writing efficient queries of a Cloud Data Management Platform using PySpark,FastAPI ,Koalas and MongoDB .

• Designed various backend modules using Django Rest Framework and FastAPI.• Designed various modules and NLP parsers for a recruitment automation platform.• Scaled a parser that can scrap upto 1 million data points improving its processing speed by upto 10x using multithreading and RQ(Redis-Queue).

• Working on projects related to Django, Django Rest Framework, FastAPI, NLP, Scraping• Built an Inventory Management System for a Guwahati based client which helped boost sales by 30 %.• Built a scraping service for a US based investing firm which helped them in lead generation.• Built an ETL pipeline for a Spain based client using PySpark, FastAPI and Azure Synapse.

Developed a secure locking system based on fingerprint scanning which operate wirelessly. In this project, I have used Wi-Fi inbuilt NodeMCU which helps us to control our lock from distant. Apart from opening and controlling of the lock, there was also two modes--Admin Mode and User Mode which is controllable from a web browser which makes it more users friendly and interactive.