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Kritika Dey

Data Engineer @ Fractal Analytics | Databricks Certified | Big Data | Azure Cloud | ETL/ELT pipelines | Spark | SQL | ADF | Microsoft Fabric | GEN AI

Bengaluru

4+ years of work experience

Fractal
Oct 20251 yrPresent

Hybrid

Finance Risk & Opportunity Analytics Platform - Architected end-to-end design and delivery of Azure Data Factory pipelines processing 1TB+ monthly financial data into Delta Lake. Reduced financial model refresh latency by 62%, enabling near-real-time analytics for financial risk and performance monitoring. Optimized Databricks PySpark workloads using salting, targeted caching, and Z-Ordering to eliminate data skew and disk spills, saving 200+ engineer hours quarterly. Led technical alignment across multiple cross-functional teams and compliance stakeholders to ensure production-grade platform delivery. CPG Supply Chain Delivery Optimization - Architected a multi-region Azure pipeline to orchestrate data ingestion across 20+ countries into dynamically partitioned tables. Engineered storage optimizations using Z-Ordering and dynamic partitioning, cutting downstream analytical query latency by 52%. Automated end-to-end CI/CD release pipelines using Azure DevOps and Logic Apps, streamlining deployments by 62% saving 100+ hours monthly. Led technical alignment with global inventory analysts and operations stakeholders to deliver an agile, high-availability decision platform. Healthcare Data on Demand Platform - Accelerated batch processing by 60% by architecting PySpark pipelines with Liquid Clustering, while reducing deployment errors through the implementation of automated DevOps CI/CD pipelines. Enforced data validation rules and schema checks within the pipelines, ensuring high data quality and maintaining lineage and traceability to support regulatory compliance. Collaborated with internal data teams to optimize data structures for analytics, focusing on performance, consistency, and reliability.
Fractal
Oct 20233 yrsPresent

Bengaluru, Karnataka, India

Working as a Data engineer in Cloud and Data Tech team with a specialization in Azure Data Engineer DP-203 and Databricks certified Data Engineering
Fractal
Jun 20234 mosSep 2023

Remote

essentia.dev
Jan 20235 mosMay 2023

Remote

Pentagon Tech Fusion Services Pvt. Ltd.
May 20222 mosJun 2022

New Delhi, Delhi, India

DigitalOcean
Oct 20211 moOct 2021

Remote

Contributed in multiple repositories during the course of this program. Gained exposure to new programming languages, projects and made a lot of developer friends during the course of this program
GirlScript Winter of Contributing
Sep 20214 mosDec 2021

Remote

Contributed in multiple repositories during the course of this program

Kritika’s AI Stack

claudecode
claudecode
ChatGPT
ChatGPT

Education

Banasthali Vidyapith

Bachelor of Technology - BTech, Information Technology

Banasthali Vidyapith

20194 yrs2023

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Headline

Data Engineer @ Fractal Analytics | Databricks Certified | Big Data | Azure Cloud | ETL/ELT pipelines | Spark | SQL | ADF | Microsoft Fabric | GEN AI

About

Passionate data engineer devoted to unlocking the potential of data for impactful solutions. Let's connect and explore the limitless possibilities of data-driven excellence together.

Location

Bengaluru

AI stack

claudecode

ChatGPT

Work experience

Data Engineer at Fractal, Oct 2025 - Present · 1 yr, Hybrid, Finance Risk & Opportunity Analytics Platform - Architected end-to-end design and delivery of Azure Data Factory pipelines processing 1TB+ monthly financial data into Delta Lake. Reduced financial model refresh latency by 62%, enabling near-real-time analytics for financial risk and performance monitoring. Optimized Databricks PySpark workloads using salting, targeted caching, and Z-Ordering to eliminate data skew and disk spills, saving 200+ engineer hours quarterly. Led technical alignment across multiple cross-functional teams and compliance stakeholders to ensure production-grade platform delivery. CPG Supply Chain Delivery Optimization - Architected a multi-region Azure pipeline to orchestrate data ingestion across 20+ countries into dynamically partitioned tables. Engineered storage optimizations using Z-Ordering and dynamic partitioning, cutting downstream analytical query latency by 52%. Automated end-to-end CI/CD release pipelines using Azure DevOps and Logic Apps, streamlining deployments by 62% saving 100+ hours monthly. Led technical alignment with global inventory analysts and operations stakeholders to deliver an agile, high-availability decision platform. Healthcare Data on Demand Platform - Accelerated batch processing by 60% by architecting PySpark pipelines with Liquid Clustering, while reducing deployment errors through the implementation of automated DevOps CI/CD pipelines. Enforced data validation rules and schema checks within the pipelines, ensuring high data quality and maintaining lineage and traceability to support regulatory compliance. Collaborated with internal data teams to optimize data structures for analytics, focusing on performance, consistency, and reliability.

Cloud and Data Tech at Fractal, Oct 2023 - Present · 3 yrs, Bengaluru, Karnataka, India, Working as a Data engineer in Cloud and Data Tech team with a specialization in Azure Data Engineer DP-203 and Databricks certified Data Engineering

Imagineer (Trainee) at Fractal, Jun 2023 - Sep 2023 · 4 mos, Remote

SDE Intern at essentia.dev, Jan 2023 - May 2023 · 5 mos, Remote

Web Development Intern at Pentagon Tech Fusion Services Pvt. Ltd., May 2022 - Jun 2022 · 2 mos, New Delhi, Delhi, India

Hacktoberfest 2021 at DigitalOcean, Oct 2021 - Oct 2021 · 1 mo, Remote, Contributed in multiple repositories during the course of this program. Gained exposure to new programming languages, projects and made a lot of developer friends during the course of this program

Open Source Contributor at GirlScript Winter of Contributing, Sep 2021 - Dec 2021 · 4 mos, Remote, Contributed in multiple repositories during the course of this program

Education

Bachelor of Technology - BTech, Information Technology, Banasthali Vidyapith