Harshit

I am a data engineering and analytics professional with over 5 years of experience, having worked with companies like Turing, ScaleAI, Mindfire Solutions and Capgemini. My expertise lies in building scalable data pipelines, orchestrating ETL workflows, conducting in-depth data analysis, and integrating AI-driven solutions for enterprise clients.

At Mindfire Solutions, I’ve led multiple data-centric projects—from designing Apache Airflow pipelines from scratch to automating CDC-based ingestion across 10+ heterogeneous data sources. I’ve implemented robust data workflows with real-time failure alerts, reducing business downtime and enabling faster decision-making. My work has also extended into NLP and AI, where I contributed to the training and fine-tuning of Large Language Models (LLMs) and developed custom prompt-based solutions using Generative AI platforms.

At Capgemini, I was part of high-impact automation initiatives. I developed backend services and automation scripts using Python and Flask, created monitoring dashboards, and managed Oracle-based environments and server health for multiple enterprise systems.

My technical skill set includes:

• Languages: Python, SQL, PL/SQL, Bash
• Cloud: AWS (S3, EC2, RDS, Aurora, Lambda, VPC), Serverless architecture
• Visualization: Power BI, Advanced Excel
• Orchestration: Apache Airflow
• Big Data: PySpark, Databricks
• NLP/AI: ChatGPT integration, LLM fine-tuning, RLHF

I’ve built and maintained dashboards in Power BI that track operational and business KPIs, created custom reports for stakeholders, and ensured fast data refresh cycles and reliability. In my projects, I take full ownership from data extraction and cleaning to modeling, testing, validation, and deployment.

I work comfortably in Agile environments, actively participating in sprint planning, stand-ups, and retrospectives while collaborating with product, QA, and DevOps teams.

I’m now seeking remote, contract-based opportunities where I can apply my skills in data engineering, analytics, and AI to solve complex data challenges, add measurable value, and grow with forward-thinking teams.