Anupam 0.

Key Skills

Software

Don't disclose

Top Subject Matter

Data ingestion/engineering for a marketplace and platform (no explicit human annotation described).

Dataset collection

Validation Domain Expertise

Top Data Types

Document

Top Task Types

Data Collection

Freelancer Overview

Software Engineer (Fullstack) — VENTRIKS: supported data pipeline collection and transformation for downstream applicati. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and AWS Lambda. Education includes Bachelor of Engineering, Gyan Ganga Institute of Technology & Sciences (2016). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection.

Labeling Experience

Software Engineer (Fullstack) — VENTRIKS: supported data pipeline collection and transformation for downstream application data.

Don't discloseData Collection

Built and managed end-to-end data ingestion and streaming workflows to support marketplace and platform data pipelines. Designed serverless backend services that collected, transformed, and served data to the frontend through asynchronous REST APIs. Operated event-driven architectures using streaming between microservices and a data lake to keep datasets current. • Implemented AWS Lambda, S3, and EventBridge components for scalable data processing. • Integrated Apache Kafka for real-time data streaming between services and storage. • Developed FastAPI REST APIs to deliver processed data with reduced latency. • Handled MongoDB document transformations for marketplace data modeling.

2020 - Present

Data Engineer — ENVERUS: automated data ingestion, quality checks, and transformation for downstream analytics.

Data Collection

Developed ETL pipelines to process high-volume datasets from external sources for analytics and reporting. Automated data collection using serverless AWS Lambda functions and added data validation to improve dataset integrity. Produced curated, profile-ready datasets for business consumption and visualization. • Built Python ETL workflows for energy and commodity data processing. • Implemented AWS Lambda ingestion from external sources and APIs. • Created Python scripts to validate data integrity and profile datasets. • Integrated processed outputs with PowerBI and Python Dash for insights.

2017 - 2020

Education

Work History