I'm a Data Engineer in the making, currently working as an Associate Analyst at AML RightSource (AMLRS), where I work hands-on with financial data every day — cleaning, reconciling, filtering, and analyzing customer records with Excel and SQL to support accurate reporting and data review.

My path into data started with full-stack web development. I shipped production features as a developer intern at two digital studios (MERN, React, React Native, HonoJS) and spent 1.5+ years teaching web development to international students on Preply (165+ classes, 4.3/5★ rating). That engineering foundation — APIs, databases, clean code, and relentless debugging — is exactly what I'm now channeling into data engineering.

Today I build end-to-end pipelines with Python, SQL, PySpark, dbt, Apache Airflow, Kafka, and Databricks, including a lakehouse project that ingests raw data with PySpark Structured Streaming and models it through a Medallion (Bronze → Silver → Gold) architecture with dbt.

• 🔭 Currently building: end-to-end ETL/ELT pipelines on Databricks (PySpark + dbt + Delta)
• 🎯 Career goal: become a Data Engineer who turns raw, messy data into reliable, analytics-ready datasets
• 🌱 Currently learning: streaming architectures, workflow orchestration at scale, and lakehouse design patterns
• 🧠 What I bring from my dev years: API design, data modeling, and performance optimization — now applied to data platforms
• ⚡ Fun fact: I've debugged more web apps than I can count — now I debug data pipelines instead

📍 Noida, India · 🗓️ July 2026 – Present

• Process, organize, filter, and analyze customer financial records and customer information using Microsoft Excel to support accurate reporting and data review.
• Retrieve, match, and reconcile information across datasets using VLOOKUP, XLOOKUP, and HLOOKUP to identify corresponding customer records.
• Apply advanced filters and conditional logic to surface relevant records, investigate data conditions, and support accurate reporting.
• Use Pivot Tables to summarize and analyze customer data, identify patterns, and generate structured views for reporting and review.
• Support data preparation and reporting activities using Excel and SQL-based data handling techniques.

📍 Remote · 🗓️ Dec 2024 – Jun 2026

• Taught full-stack web development — frontend, backend, and the MERN stack — to 10+ international students across 165+ one-on-one classes with a 4.3/5★ rating.
• Designed a learn-by-building teaching style: master the basics → solve practice problems → ship small projects → repeat the pattern.
• Deepened my own understanding of HTML, CSS, JavaScript, React, Node.js, and databases by teaching them daily.

📍 Remote · 🗓️ Jan 2026 – Mar 2026

• Built full-stack features on a production codebase using the MERN stack.
• Designed MongoDB schemas, integrated REST APIs, and optimized backend services.
• Contributed to production-ready code, debugging, and performance optimization.

📍 Onsite · 🗓️ Jul 2025 – Dec 2025

• Built full-stack features using ReactJS, React Native, and HonoJS for backend API development.
• Designed MongoDB schemas, integrated REST APIs, and optimized backend services.
• Shipped production-ready code with a strong focus on debugging and performance.

Bachelor of Computer Applications (BCA) · TMU (Teerthanker Mahaveer University), Moradabad — Class of 2026

Languages & Core

Analytics & BI

Python for Data

Databases

Data Engineering

Cloud & DevOps

An end-to-end data engineering pipeline on Databricks: ingests raw CSVs with PySpark Structured Streaming, transforms them through a Medallion (Bronze → Silver → Gold) architecture using dbt, and delivers analytics-ready Gold tables.

Databricks · PySpark · dbt · Delta · SQL

A complete pipeline from raw CSV ingestion to interactive dashboards — ETL, exploratory data analysis, statistical hypothesis testing, and business recommendations on vendor purchasing, sales, and profitability.

Python · Pandas · NumPy · SQL · SciPy · Power BI

Analyzed 3,900+ purchases to uncover spending patterns, customer segments, product preferences, and subscription behavior — served as SQL-backed Power BI dashboards.

Python · Pandas · SQL · PyMySQL · Power BI

Root-caused chronic late deliveries across 172,765 orders and quantified their financial impact, delivering data-backed recommendations to improve logistics performance.

Python · Pandas · Seaborn · EDA

• 🌴 Lionyard — Full-stack real-estate platform for a Dubai property company: marketing site, role-based agent/admin dashboard, and Node.js REST API covering the complete property lifecycle. React Express MongoDB JWT
• 🧾 BillRest — Modern billing & inventory management software (General + Health segments) handling billing, invoicing, appointments, and inventory. MERN TypeScript
• 🏍️ NoLimitBikers — Course-selling web app for bike learners in the Netherlands. Next.js Tailwind CSS

I'm always open to Data Engineering opportunities, collaborations, and interesting data problems. Feel free to reach out — I reply fast!

“Turning raw data into reliable, decision-ready pipelines — one ETL job at a time.” 🚀