Summary
Overview
Work History
Education
Skills
Websites
Certification
Awards
Timeline
Generic
Chinmayee Panigrahi

Chinmayee Panigrahi

Bengaluru

Summary

Data Engineer with 14 years of extensive experience in designing, building, and optimising large-scale data architectures, pipelines, and infrastructure for high-impact, data-driven solutions.

- Experience with designing and implementing data integration solutions, data governance, and data security

- Experience with data warehousing, ETL, and data modelling, designing and implementing data pipelines, data storage solutions, and data visualization systems• Deep expertise in wide range of data technologies, including Business Intelligence Platform, T-SQL databases, and cloud platforms such as Azure. Proficient in Python and other key programming languages essential for efficient data processing and ETL development.

• Proven track record of creating and maintaining robust, scalable, and high-performance data ecosystems that support complex analytics, machine learning models, and real-time data processing, enabling businesses to extract actionable insights.

• Experienced in leading data engineering teams, providing technical guidance, mentoring senior engineers, and fostering a culture of innovation and best practices. Adept at collaborating with data scientists, analysts, and business stakeholders to deliver end-to-end data solutions.

• Expertise in optimising data workflows, ensuring data quality, security, and compliance, and implementing data governance frameworks that align with organisational goals.

• Versatile professional with experience across various industries, including Audit, Asset management, FMCG, BFSI and healthcare, consistently delivering data solutions that drive business growth, operational efficiency, and enhanced decision-making.

• Passionate about leveraging the latest technologies and methodologies to continuously improve data infrastructure and stay ahead in a rapidly evolving data landscape. Committed to driving innovation and pushing the boundaries of data engineering.

• Recognised for delivering data engineering solutions that have led to significant cost savings, revenue growth, and operational improvements, directly contributing to the success of the organisations.

- Strong understanding of data architecture concepts, methodologies, and frameworks

- Data visualization - Tableau, PowerBI, Qlikview

- Great exposure to DevOps tools and CI-CD pipeline, experience using version control tools like GIT, database concepts

Overview

15
15
years of professional experience
1
1
Certification

Work History

Associate Director

KPMG US
Bengaluru
04.2024 - Current
  • Developed data-driven solutions to improve customer experience and increase operational efficiency.
  • Collected, analyzed, and interpreted complex business data for strategic planning purposes.
  • Identified areas of inefficiency within the organization and developed strategies to address them.
  • Provided technical support for existing database systems, including troubleshooting issues as needed.
  • Prepared detailed documentation outlining procedures used in various stages of the ETL process.
  • Optimized SQL queries for faster performance when running large queries against databases.
  • Partnered with external vendors to evaluate their products and services related to data management initiatives.
  • Drafted project plans detailing timelines, resource needs, budgets., for successful completion of assigned tasks.
  • Ensured adherence to industry standards when designing database schemas or developing code related to applications that access databases.
  • Delivered presentations at conferences or workshops showcasing findings from completed projects involving advanced analytics techniques.
  • Developed and maintained automated deployment scripts to ensure the successful delivery of applications.
  • Ensured application deployments were completed in a timely manner, meeting all deadlines.
  • Coordinated with other teams to ensure proper integration between systems during deployments.

Manager

KPMG US
Bengaluru
10.2020 - 03.2024

Senior Associate 1 & 2

KPMG US
Bengaluru Area
04.2015 - 09.2020

Business Consultant

NTT DATA Services
02.2012 - 03.2015

Assistant Systems Engineer

Tata Consultancy Services
01.2010 - 01.2012

Education

Executive MBA - General management

Indian Institute of Management Bangalore
10.2023

B-Tech - Computer Science

BPUT University
08-2009

Skills

  • Microsoft SQL
  • Data engineering
  • Data visualization: Tableau, Power BI, QlikView
  • Business Intelligence
  • Data Governance
  • Data Modeling
  • Database Management
  • Data Security
  • Microsoft SQL
  • Data Migration
  • Capacity Planning
  • ETL development
  • Agile Methodology
  • Database Design
  • Database Administration
  • Data Warehousing
  • Dashboard design

Certification

  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Power BI Data Analyst Associate
  • Microsoft Certified: Azure Data Fundamentals
  • Microsoft Certified: Azure Fundamentals
  • Academy Accreditation - Generative AI Fundamentals by Databricks
  • Business Analytics with R
  • L.E.A.P Certified (Leadership Accelerated Program for Women Professional)

Awards

  • Best Team (Product) at KPMG 2024 for Asset Management Product
  • Manager of the Quarter KPMG Q3 2021
  • Hackathon 2022 (1st Runner's up)
  • Guru Award at KPMG 2020/21/22
  • Above & Beyond award at KPMG 2017/19/20
  • Senior Associate of the Quarter KPMG 2016
  • Outstanding Contribution Award from NTTDATA
  • Best Team Award by TCS
  • Commendable performance in Junior Mathematical Olympiad
  • Spot award at NTT Data

Timeline

Associate Director

KPMG US
04.2024 - Current

Manager

KPMG US
10.2020 - 03.2024

Senior Associate 1 & 2

KPMG US
04.2015 - 09.2020

Business Consultant

NTT DATA Services
02.2012 - 03.2015

Assistant Systems Engineer

Tata Consultancy Services
01.2010 - 01.2012

Executive MBA - General management

Indian Institute of Management Bangalore

B-Tech - Computer Science

BPUT University
Chinmayee Panigrahi