Technology Consultant (Software & Data), Bain & Company, New Delhi

Data Engineering | Backend Systems | Applied AI

I build production systems that turn data and AI into clear, reliable business outcomes.

My work focuses on:

• Designing stable, well-tested data pipelines and backend services
• Applying LLMs and automation in real client environments, not demos
• Explaining complex systems in simple language so engineers, business teams, and leadership can work together

Data pipelines feeding backend APIs that power analytics and AI products.

Core areas:

• Snowflake, Redshift, and Python-based data engineering
• FastAPI-based backend services and orchestration
• OCR, NLP, and LLM-enabled automation for decision support

Intern → Analyst → Associate

• Engineered end-to-end retail data platforms for a Mexico (CDMX) retail engagement by optimizing Snowflake SQL workflows, designing the pipeline orchestrator, and automating data refreshes and flat-file ingestion, improving reliability and client self-sufficiency.
• Built the backend for an OCR + LLM competitor intelligence solution using Azure Document Intelligence and OpenAI foundation models, delivering approximately 70 percent faster turnaround for pricing intelligence and supplier negotiations.
• Streamlined multi-stage Python data pipelines for a Spanish multinational retail and wholesaling corporation, reducing dashboard refresh times by roughly 90 percent and enabling near-real-time decision making.
• Re-platformed Alteryx workflows to modular Python and SQL pipelines for UK and European retailers, removing paid license dependency and improving reporting turnaround by 25 to 80 percent while lowering costs.
• Improved AWS Redshift SQL performance for a US wholesale food distributor, increasing ingestion efficiency and accelerating analytics delivery for pricing and supply planning teams.
• Developed Python-based automation for a US warehouse club chain, delivering 50 percent faster SQL Server uploads and reducing manual effort by around 70 percent.
• Designed and led the “Skill Spark” AI enablement initiative and bootcamps, training 115 plus consultants in Python, applied AI, prompt design, guardrails, and building tools with Azure OpenAI.
• Created AleXPy, a Python and LangChain-based tool using foundation models to semi-automate Alteryx to Python migration, cutting development effort by 75 to 80 percent and successfully piloted in a live Spanish retail consulting case.
• Recipient of multiple Retail Spotlight Awards (Q1 2024, Q4 2024, Q2 2025) for exceptional client delivery and contributions to the Retail Centre of Excellence.

• Built Python-based data pipelines for an AI-enabled B2B invoice management platform, improving scalability of high-volume accounts receivable data flows.
• Optimized SQL using CTEs, stored procedures, and indexing strategies to accelerate order-to-cash workflows and reporting.
• Designed data validation and quality testing frameworks to improve reliability and alignment with business objectives.

• Estimated ground displacement and deformation rates in the San Francisco Bay Area using ERS-1 and ERS-2 satellite data.
• Applied the PSInSAR technique using Python and MATLAB to measure large-scale ground movement patterns.
• Collaborated with a multidisciplinary research team to improve the STUN algorithm for higher precision remote sensing analysis.

Languages:
Python, SQL, C/C++, HTML, CSS

Data and AI:
Pandas, Dask, LangChain, NLTK, NumPy, TableauHyperAPI, PyODBC, psycopg2

Backend and APIs:
FastAPI, Uvicorn, OpenAPI and SwaggerUI, RESTful service design

Data Platforms and Cloud:
Snowflake, Amazon Redshift, Amazon S3, Amazon EC2, Azure Document Intelligence

Analytics and BI:
Alteryx, Tableau, Advanced Excel, Plotly, Matplotlib, Seaborn, ggplot

Tooling and Workflow:
Visual Studio Code, SSMS, DBeaver, Git with branching, code review, and release workflows

• I prioritize clarity, maintainability, and correctness over clever shortcuts.
• I design systems that non-technical teams can operate safely with minimal support.
• I evaluate success using stability, speed, cost reduction, and decision impact.