Harsh C. — Associate Consultant

Working at the intersection of GenAI and Data Engineering, leveraging LLMs to solve diverse real-world use cases. Early Innovations & ML Foundation Pioneered data intelligence in entertainment analytics, building sophisticated scraping architectures for platforms like BookMyShow, Paytm, IMDb, and YouTube. Led ML-driven forecasting models that accurately predicted Day 1 box office performance for blockbuster releases including Doctor Strange, Thor, and Brahmāstra. Later transitioned into building Customer Data Platforms (CDP) and data migration pipelines for enterprises, including a major Indian bank. Designed cloud-native solutions on AWS, implementing event-driven architectures with Glue, Lambda, EventBridge, and SNS/SES. Drove analytical transformation initiatives that enabled data-driven decision-making at scale. Managed seamless migration from on-prem systems to the cloud using AWS Glue, S3, Lambda, EventBridge, and SNS/SES, with PySpark and Python as core processing tools.Primarily focussed on analytical requirements of bank. Explored real-time video processing using AWS MediaLive, Media Replay Engine (MRE), and HLS manifest-based workflows. Implemented pipelines for shot detection, score analysis, and OpenSearch indexing, with extensive use of FFmpeg for media transformations.Product had business usecase around Sports Realtime video processing & media companies processing livestreams at scale. Also Previously was part of project where we built a self-learning lead allocation system for Samsung that dynamically optimizes campaign-to-store assignments using configurable rule engines, proximity algorithms, and historical pattern analysis Tech Stack: Python | PySpark | SQL | Linux | AWS (Glue, MediaLive, Lambda, S3, MRE, EventBridge, SNS, SES) | OpenSearch | GCP BigQuery | FFmpeg | MS SQL |.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and Media & Entertainment sectors.

Location: Gurugram, Haryana, India

Experience: 4 yrs 6 mos