Hi, I'm

Nipun Garg

|

Results-driven Data professional with 2.5+ years designing scalable ETL/ELT pipelines and delivering actionable insights on Azure, Databricks, Snowflake, Microsoft Fabric & Power BI.

Noida / NCR, India Open to DE / DA roles
Nipun Garg

01 — Introduction

About Me

I'm a Data Engineer at MAQ Software with 2.5+ years of experience spanning data engineering, analytics and business analysis. I design and optimize end-to-end data pipelines and turn large, messy datasets into reliable, decision-ready insights.

My work covers scalable ETL/ELT on Azure Data Factory, Databricks, Snowflake and Microsoft Fabric, alongside analytics and reporting with Power BI and DAX. I'm Microsoft and Snowflake certified, and I care about clean architecture, performance tuning and data quality.

2.5+Years Experience
7+Certifications

02 — Where I've worked

Experience

Software Engineer 2 · MAQ Software

Mar 2026 – Present · Noida/NCR
  • Led the design of end-to-end data solutions and shaped key architecture decisions across pipelines and reporting.
  • Owned data governance and quality via cross-source validation, automated data quality checks and reconciliation.
  • Drove stakeholder discussions and translated business needs into scalable solutions with 5+ cross-functional teams.

Software Engineer 1 · MAQ Software

Jul 2024 – Mar 2026 · Noida/NCR
  • Engineered high-volume data pipelines using Azure Data Factory, Databricks and Snowflake.
  • Optimized data models in Microsoft Fabric & Databricks (30% faster) and streamlined CI/CD with Azure DevOps (50% faster deployments).
  • Built interactive Power BI dashboards and DAX semantic models, accelerating reporting by 40%.
  • Conducted ad-hoc SQL & DAX analysis to surface KPIs, trends and anomalies for timely decisions.

Associate Software Engineer · MAQ Software

Jan 2024 – Jul 2024 · Noida/NCR
  • Developed efficient ETL/ELT workflows using PySpark, SQL and Airflow, cutting execution time by 25%.
  • Automated Build Verification Tests (BVT) with PySpark, enforcing a 5% variance threshold to detect upstream anomalies.

Research Analyst · Samsung PRISM

Oct 2022 – Mar 2023 · Remote
  • Fine-tuned a pre-trained BERT model (Hugging Face Transformers) for NER, improving entity extraction accuracy by 35%.
  • Performed data preprocessing, annotation validation, tokenization and dataset preparation.
  • Evaluated models on Precision, Recall and F1-score with hyperparameter tuning.

03 — What I work with

Skills

Languages & Databases

PythonSQLT-SQLPySparkSpark SQL ScalaMDXDAX

Tools & Platforms

Azure Data FactoryDatabricksSnowflakeMicrosoft Fabric Azure SynapseAirflowPower BIPower Query Azure DevOpsGitExcel

Concepts & Methodologies

ETL/ELTData WarehousingData LakehouseDelta Lake Star-Schema ModelingData PipelinesData Visualization KPI & ReportingData QualityRequirement Gathering Stakeholder ManagementAgile/Scrum

04 — Things I've built

Projects

IntelliMed

IntelliMed

AI-driven symptom analysis engine delivering disease prediction with 87% accuracy, plus LSTM-based inventory forecasting.

PythonMachine LearningLSTM
Walking the Walk

Walking the Walk

Gait-based biometric system using computer vision and deep learning for contactless, real-time identity verification.

Computer VisionDeep LearningPython
Olympics Analysis

Olympics Analysis

Interactive web app to explore and analyze Olympic Games data with rich visualizations.

PythonStreamlitAnalytics
IPL Statistics Dashboard

IPL Statistics Dashboard

Data-visualization dashboard presenting comprehensive IPL cricket statistics and insights.

TableauRData Viz

05 — Verified skills

Certifications

06 — Academic background

Education

Thapar Institute of Engineering and Technology

B.E. in Computer Engineering — Specialization in Data Science

Patiala, India · Sept 2020 – Jun 2024 · CPI: 8.50 / 10

07 — Get in touch

Let's Connect

Open to Data Engineer / Data Analyst opportunities. Have a role or idea in mind? Let's talk.