Hello, I am

RAHUL PATEL.

1

Excel Project

2

PowerBI Projects

1

SQL Project

1

Python Project

About Me

Welcome! I’m Rahul Patel, a Data Engineer with 3+ years of experience specializing in Azure and AWS Cloud Data Engineering. I am passionate about transforming complex datasets into actionable insights that drive strategic business decisions.

With expertise in SQL, Python, PySpark, Power BI, and Excel, I design and optimize ETL pipelines, data warehouses, and real-time data solutions. In my professional role at Nexgen Tech Solutions and HCLTech, I have worked on high-volume, real-time analytics projects, integrating diverse datasets and enhancing data management efficiency.

Beyond my work, I have completed several independent projects that showcase my ability to turn raw data into clear insights. I am committed to continuous learning and leveraging data to solve real-world challenges. Explore my work and connect to discuss impactful data-driven solutions!

Key Skills

Effective Communication

Stackholder Mangement

SQL

Python

ETL

Dashboards

Data Cleaning

Preprocessing

Statistics

Data Modeling

Data Warehousing

Azure Cloud Data Engineering

My Projects

My Experience

Data Engineer – Nexgen Tech Solutions

Feb 2025 – Present | Noida
Client: HDFC Bank – Digital Banking & Analytics

Contributed as a Data Engineer in developing real-time ingestion pipelines using Kafka and Pub/Sub, enabling seamless processing of high-volume banking transactions.
Enhanced a 3-layer Delta Lakehouse (Staging–Curated–Service) in Azure Databricks, improving scalability, security, and analytics readiness.
Implemented complex PySpark transformations to support Net Banking & Mobile Banking analytics, driving accuracy in transaction-level reporting.
Applied data governance, security, and compliance standards to ensure regulatory adherence in financial data pipelines.
Optimized Databricks and Azure Data Factory (ADF) workflows, achieving cost savings and reduced pipeline runtimes.
Collaborated with cross-functional teams (Data Architects, Analysts, QA) to deliver banking-ready, high-quality datasets for BI dashboards and compliance reporting.

Data Engineer – HCLTech

Oct 2022 – Jan 2025 | Noida
Project: Microsoft Bing Data Analytics & Engineering

Processed and analyzed 1TB+ of big data generated daily by Microsoft Bing, designing and deploying scalable ETL pipelines and robust data models.
Improved real-time analytics and visualization using Azure Data Lake, Databricks, Apache Spark, and Power BI.
Optimized ADF workflows, reducing data processing time by 30%.
Integrated and modeled complex datasets from multiple sources, increasing data accuracy by 20%.
Designed and implemented scalable cloud-based solutions using Azure Synapse Analytics, reducing system downtime by 15%.
Collaborated with cross-functional teams across geographies to deliver business-critical insights.