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Fnu Gitanjali

Senior Data Engineer | Microsoft| Dell

About Me

Senior Data Engineer with 7+ years architecting enterprise-scale data infrastructure, AI/ML-powered data products, and driving data-driven insights. Expert in designing scalable ETL/ELT pipelines, dimensional data modeling, CI/CD automation across Snowflake, AWS, Azure, data governance frameworks (AWS KMS, GDPR), and LLM/RAG systems for intelligent data retrieval and automation. Proficient in Snowflake, Databricks, AWS, SQL, Azure, dbt, Airflow, Spark, Python, Power BI, Statistics, and generative AI frameworks.

Jurisdiction

United States

Experience

Seniority LevelMid-Senior level
Years of Experience6-10 years
Current StatusActive
Senior Data EngineerMicrosoft
2024 - Present

• Developed automated Python workflows integrated with ADF, improving pipeline reliability and reducing processing time by 40% • Utilized Azure Data Explorer and Kusto to analyze and manipulate data for various builds (Fast build, BuildXL, downlevel builds) • Developed data transformations in Azure Databricks using Spark, improving processing performance for telemetry dataset • Used Terraform to provision and manage cloud infrastructure components, enabling repeatable and version-controlled setup • Designed ETL pipelines in Apache Airflow to orchestrate automated ingestion and transformation of data from Azure Data Lake • Built scalable ETL data pipeline in Azure Data Factory to process build telemetry for Windows updates impacting 750 M+ devices • Utilized GitLab and GitHub for version control, code review, pull requests, and collaborative development across ADF pipelines • Built data ingestion, modeling, and governance workflows using Microsoft Fabric to support enterprise reporting and analytics • Maintained CI/CD pipelines in Azure DevOps Repos to automate deployments, ensure version control, and enforce code quality • Leveraged Generative AI tools like Azure OpenAI and GitHub Copilot to accelerate SQL development, exploratory data analysis • Used Azure Monitor and Log Analytics to track pipeline health, ingestion latency, and telemetry across the Azure data workflow • Developed scalable data flows for Azure Synapse and cloud storage environments, supporting real-time engineering dashboards

Education

Masters of Data ScienceStevens Institute of Technology
2021 - 2023

Certification

Total Certifications10

Data Science

British Airways

Credential ID: ZoMDchThcXpH7oAad

Data Analytics

Deloitte Australia

Credential ID: vmBCEwJAuryuNfC3r

Python

HackerRank

Introduction to Responsible AI

Google

Introduction to Image Generation

Google

Google Crash Course on Python

Google

Credential ID: P4CUL4KA3BH6

Google Data Analytics Professional Certificate

Coursera

Credential ID: LLJ5NKJXHGBD

Google Data Analytics Capstone: Complete a Case Study

Coursera

Data Science Orientation

Coursera

Configure a semantic model

Microsoft

Credential ID: 6D634569C7C1DE79

Skills

Core skills0
Languages2

Languages

English
Hindi