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Achievements

Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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NegativeClamper/README.md

UJJWAL REDDY

Python Developer & Data Engineer

Building cloud-native ELT/ETL pipelines and wrangling messy REST APIs into relational architecture.

❖ CORE STACK

  • Languages: Python 3.x, SQL
  • Data Engineering: Pandas, SQLAlchemy, JSON Parsing, REST APIs
  • Cloud & Storage: Snowflake, PostgreSQL, AWS, Azure
  • Architecture: ELT / ETL Pipelines, Data Warehousing, NoSQL-to-SQL

❖ RECENT ENGINEERING

OpenFDA Snowflake ELT

  • Engineered a modern ELT architecture extracting raw government JSON payloads.
  • Vaulted credentials and loaded unstructured data into a Snowflake Internal Stage.
  • Utilized native LATERAL FLATTEN cloud compute to bypass Pandas and transform documents into a relational schema.

OpenFDA PostgreSQL ETL

  • Architected an ingestion engine to resolve NoSQL-to-SQL impedance mismatch.
  • Built branching transformation layers using Python to prevent Cartesian memory explosions.
  • Pushed 2D tables to a live serverless Neon PostgreSQL database.

Hyderabad, IN • LinkedIn • Contact

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  1. OpenFDA-drugenforcement-ELT-pipeline OpenFDA-drugenforcement-ELT-pipeline Public

    A complete professional grade ELT pipeline for the drug enforcement data from openFDA(Food and Drug Administration of USA). Based on ❄ SNOWFLAKE.

    Python

  2. FDA-Adverse-Events-Pipeline FDA-Adverse-Events-Pipeline Public

    A complex ETL pipeline, industry grade. For data from FDA

    Python

  3. boxmot boxmot Public

    Forked from mikel-brostrom/boxmot

    BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

    Python

  4. movie-recommender movie-recommender Public

    Python

  5. math-mentor-ai math-mentor-ai Public

    math-mentor is a complete solution for your JEE level math problems

    Python

  6. pharma-data-quality-pipeline pharma-data-quality-pipeline Public

    ETL pharma data creation using faker, transformation, loading using pandas .

    Python 1