Golla Gowtham
As an Associate Data Engineer and Full-Stack Contributor, I am driven by a determined and organized approach, ensuring accountability in every project. I excel in collaborative settings, leveraging my resourcefulness to build effective solutions and contribute meaningfully to team success.
Experience
Associate Data Engineer / Full-Stack Contributor
RSI · Dec 2025 – Present
- Built ZPulse, a gamified onboarding and learning portal covering missions, quizzes, rewards, role-based dashboards (Admin, HR, Manager, Hiring Manager, Employee), certificates, live leaderboards, and AI-assisted HR support.
- Delivered a production-ready demo stack with React frontend and FastAPI backend aligned to Embark-style architecture.
- Delivered BRD core modules: mission learning loop, quizzes, XP rewards, spin-wheel unlocks, and progressive onboarding journeys for campus and experienced hires.
- Implemented role-based workspaces (Admin, HR, Manager, Hiring Manager, Employee) from a single login with correct Day-1 tooling per role.
- Built Admin Question Bank with reusable questions, mission import/publish flow, and consistent explanations for learners.
- Developed certificates with public verification page and LinkedIn share to prove mission completion and strengthen employer brand.
- Created live leaderboards & streaks (department / location / batch / org) to drive engagement and healthy competition.
- Shipped beyond-BRD features: HR Buddy AI chat, Games hub, Office Tour media, and Hiring Manager portal.
- Designed responsive mobile-friendly UX so new joiners can complete missions and track progress on phone layouts.
- Integrated profile photo/avatar, notification settings, and company videos/reviews to personalize the onboarding experience.
- Built FastAPI services for live activity feed, leaderboard, player actions, AI chat, and media streaming; seeded SQLite demo data for UAT.
- Aligned stack conversion to React 18 + TypeScript + Vite + Tailwind + FastAPI for maintainability with the Embark portal family.
Associate Data Engineer
RSI · Dec 2025 – May 2026
- Designed and developed a comprehensive HR Dashboard for managing the end-to-end employee onboarding lifecycle – from candidate initiation and document/form verification to appointment letter generation, compliance reporting, and AI-driven task tracking - within a React 18 SPA serving multiple HR teams (IT & DOS).
- Built Initiate Onboarding module with Zwayam ATS integration for auto-fetching candidate data and documents.
- Implemented OCR-powered document extraction using Azure OCR with fallback to Tesseract.js for Aadhaar, PAN, salary slips and offer letters.
- Developed Verification Queue with document/form review, bulk approval, correction requests, and real-time status tracking.
- Built HR AI Task Engine that auto-generates prioritized action items based on verification progress.
- Created HR Reports with CSV export for weekly onboarding, department status, and appointment letter reports.
Scala Developer / Data Engineer
RSI · Jan 2025 – Mar 2026
- Designed and developed a large-scale analytics Lakehouse pipeline for retail sales, inventory, and customer behavior data.
- Built batch and incremental Spark jobs in Scala and PySpark to ingest multi-source data, enforce data quality, and produce curated marts used by BI and business teams for daily decision-making.
- Architected end-to-end ETL using Scala on Apache Spark with typed case classes, immutable transforms, and modular job layers (bronze -> silver -> gold).
- Implemented high-volume transformations with PySpark DataFrames & Spark SQL for sales aggregation, cohort analysis, and inventory aging metrics.
- Optimized job runtime by 40%+ via repartitioning, broadcast joins, predicate pushdown, and Parquet/Delta storage.
- Built reusable Scala utilities for schema evolution, late-arriving data handling, and idempotent reprocessing.
- Integrated source systems (RDBMS/CSV/JSON APIs) into a unified lakehouse with Hive metastore / catalog-backed tables.
- Added data-quality checks (nulls, duplicates, referential integrity) and failure alerts before publishing curated datasets.
- Exposed analytics-ready datasets to Power BI / Tableau dashboards for revenue, SKU performance, and customer retention KPIs.
- Collaborated with stakeholders to translate business rules into scalable Spark jobs with clear SLA and monitoring.
Skills 0 proven through work
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Education
Bachelor of Technology, Computer Science and Engineering
Lovely Professional University
Intermediate Education, Intermediate Education
Sri Chaitanya Junior College
Secondary School Certificate, Secondary School Certificate (SSC)
Pratibha (E.M) High School
Course, Supervised Machine Learning: Regression and Classification
Coursera · 2025
Course, Machine Learning and Data Science
GeeksforGeeks · 2024
Course, Prompt Engineering for ChatGPT
Coursera · 2024
Course, Mastering Data Structures and Algorithms with C++
Udemy · 2023
Certification, Associate Data Engineer course
Databricks · 2026
Course, Scala 3 Development course
Udemy · 2026
Contact details
Contact details
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What drives their work
The Builder
Turns complex data requirements into robust, efficient systems.
Golla's superpower
You excel at constructing and optimizing data pipelines, ensuring data integrity and efficient processing.
How Golla works
You would thrive in a team focused on building and optimizing data infrastructure, where collaboration and technical problem-solving are highly valued.
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