Summary
Overview
Work history
Education
Skills
Career Goals
Certification
Fundamental Knowledge of
Timeline
Generic

Kanaad Chitgopkar

Reading,Berkshire

Summary

A dedicated Data Professional with a passion and curiosity for Analytics, Data Engineering and Machine Learning. As an adaptable and continuous learner, I am keen to keep challenging myself and evolving, by learning new technologies and expanding my skill set.

Overview

4
4
years of professional experience
3
3
years of post-secondary education
1
1
Certification

Work history

Senior Data Quality Analyst

Tata Consultancy Services - Primark
Reading, Berkshire
09.2024 - 06.2025
  • Oversaw the integration of a new Global POS system with our current Data Architecture.
  • As data would be propagated from a dummy POS system resembling this new Global POS, before it would be productionised, we assessed the Data Quality and Integrity at every stage of the End-to-End Flow, right from the source system all the way downstream to the concerned Tableau reports.
  • Worked with Stakeholders, as well as other vendors and teams within TCS, to understand the requirements and define strict project timelines.
  • Worked with all teams and vendors involved in the project to define the test requirements and execute the test scenarios and test cases.
  • As the Unaudited and Audited Sales transaction data flowed through our Data Warehouse, we conducted thorough Data Quality Assessments at each of the Source, Staging, Storage and Presentation layers, before analysing the data that was finally reaching the Tableau reports, to ensure that it met the Quality standards and requirements established by Primark.
  • Before the Global POS went live, we finally communicated our Data Quality Assessment approach as well as Insights and Test Results to Stakeholders, to ensure that the data met the required Quality standards, as well as adhered to Data Governance and Security policies.

Cybersecurity Risk Analyst

Tata Consultancy Services - Primark
Reading, Berkshire
06.2024 - 08.2024
  • Received ample raw data from Primark business, on a fortnightly basis, regarding all the different user accounts found on their Windows, Linux, and AIX systems.
  • Audited this raw data, and extracted insights on proportions of different types of user accounts (i.e., privileged, service, associate accounts) on each system, proportions of compliant accounts, what types of machines/servers are these users’ sessions running on, etc.
  • Used Tableau to translate these insights into a variety of visualisations and establish trends, on a fortnightly basis.
  • These findings led to a 25% reduction in current IT security risks over the June-August 2024 timeframe, as well as an identification of 23 potential IT security risks, and measures needed to evade these, during this same time period.
  • Completed the required training and received the ‘Privileged Access Management Administration for Partners’ certification from CyberArk.

Data Quality Analyst – Data Engineering

Tata Consultancy Services - Primark
Reading, Berkshire
03.2023 - 05.2024
  • Having sound knowledge of the entire Primark Business Landscape, as well as the entire End-to-End Data Architecture.
  • Worked with Stakeholders to understand business requirements and outlined the appropriate steps needed to resolve the highlighted issues with their data in the particular Tableau reports.
  • Defined test requirements and executed test scenarios and test cases.
  • Oversaw every phase of the Design and Development of a Data Solution, to ensure it meets the Quality standards and requirements established by Primark.
  • Collaborated with Data Engineers and other Stakeholders to implement Data Solutions.
  • Executed Data Propagation from source systems, Data Profiling and Preparation, Environment Setup, and End-to-End Data Flows.
  • Conducted Data Quality and Integrity Checks to ensure that Primark’s data was accurate, complete, consistent, reliable, and accessible.
  • Ensured Adherence to Data Governance and Security policies.
  • Identified, Reported, and Troubleshot any Defects and Data Quality issues found in Data Solutions, working to Improve Data Collection and Storage in Teradata, for efficient Reporting in Tableau.
  • Reverse Engineered SQL jobs in Automic Workflow Orchestration tool and ELT jobs in Oracle Data Integrator, in order to resolve data issues.
  • Communicated our Data Quality Assessment approach as well as Insights and Test Results to Stakeholders from various departments, such as Finance, Buying & Merchandising, Supply Chain, and Stocks & Transfers, in fortnightly Sprint Review Sessions.
  • Integration, ETL, and End-to-End Testing.
  • Functional and Regression testing in Systems Integration Testing (SIT) environment.
  • Performance testing in User Acceptance Testing (UAT) and Pre-Production environments.
  • Provided Training and KTs on data quality best practices and ways of working to new joiners.
  • My contributions to the Data QA team led to a 25% decrease in Data Errors as compared to the previous 4-month PI, through thorough Quality Assessment and Analysis of Data Solutions.
  • My contributions also led to a 40% reduction in environmental setup errors as compared to the previous 4-month PI, through tuning inactive or slow-performing batch jobs, along with other miscellaneous checks.

Change Manager – Data Engineering

Tata Consultancy Services - Primark
Reading, Berkshire
03.2023 - 05.2024
  • Ensured that all the developments and code changes implemented by the Data Engineering team were on track to meet their scheduled Production deployment dates, as agreed with business during weekly CAB meetings.
  • Liaised with various vendors and business users to get all the required approvals for every data solution our team implemented, before the proposed Production deployment date agreed with business.
  • Sped up the rate at which the Data Engineering team were able to push implemented data solutions to Production, leading to an improvement from a 64% say-do ratio on average per sprint, from before I joined the team, to a 91% say-do ratio on average per sprint, in the next 4-month PI.
  • Also saw a 30% increase from the previous 4-month PI to the current PI, in terms of commitment volume, i.e., the quantity of work we could deliver, and the complexity of the data solutions we could implement.

Process Engineer – Data Engineering

Tata Consultancy Services - Primark
Reading, Berkshire
03.2023 - 05.2024
  • Suggested potential modifications to the current Data Engineering Change Management process to business, to improve efficiency over time.
  • Proposed a new change model, which resulted in 25% more data solutions being successfully deployed into Production, in the PI that the new change model was implemented in, speeding up overall business progress significantly.

Oracle Application Management System Analyst

Tata Consultancy Services - Primark
Reading, Berkshire
11.2021 - 01.2023
  • Analysed data related to transfers, shipments, DSD (Direct Store Deliveries), and MRTs (Mass Return Transfers) to/from Primark stores and warehouses. As well as data related to sales, clearances, and promotions on given items.
  • Price and Stock Reconciliation between Oracle Retail Applications using PL/SQL
  • Item ranging from back-end databases to the Oracle Merchandising System front-end database using PL/SQL

Education

Bachelor of Science - Mathematics

University of York
York
10.2017 - 09.2020

Skills

  • Database & Programming Languages: SQL – MS SQL Server, PL/SQL, Teradata SQL; Python – Pandas, NumPy, SciKit-Learn, MatPlotLib, SciPy (Open to learning PySpark and similar tools)
  • ETL Tools: Oracle Data Integrator 11G & 12C
  • Enterprise Data Warehousing: Teradata
  • Workflow Orchestration Tools: Broadcom Automic – Batch Processing (Open to learning AirFlow and similar tools)
  • Data Prep Tools: Alteryx
  • Data Visulatisation: Tableau Cloud (Open to learning PowerBI and similar tools)
  • Other Miscellaneous Skills: MS Excel, Jira, ServiceNow – Change Management, Confluence, Enov8 – Test Environment Management, Jupyter Notebooks, Experience of working in an Agile/SCRUM framework, Retail Business Concepts

Career Goals

Currently working in the QA side of Data Analytics, I am keen to transition to a Data Analyst role.

During my career so far, I have always taken the initiative to learn new skills and technologies, outside my day-to-day work, to propel my career further, such as Python, Machine Learning, and Azure.

I am eagerly looking for opportunities to put these skills from the certifications I have achieved into practice, in a hands-on project.

Having worked on on-premise technology, such as Teradata, I am keen to diversify my hands-on skillset by working on cloud platforms, such as Microsoft Azure/Fabric and Snowflake.

Alongside project work, I am also keen to keep upskilling by working towards more qualifications, such as Fabric DP-600 and DP-700, SnowPro Core, and other cloud technologies such as AWS and GCP.

In the future, I am looking to transition from a Data Analyst to a Data Engineer or other senior Data roles.

Certification

Certifications:

  • DP-900: Azure Data Fundamentals – https://learn.microsoft.com/en-gb/users/kanaadchitgopkar-9815/credentials/8a8cfe14fd244403?ref=https%3A%2F%2Fwww.linkedin.com%2F
  • CyberArk: Privileged Access Management (PAM) Administration for Partners
  • Imperial College Business School: Professional Certificate in Machine Learning and Artificial Intelligence - https://certificates.emeritus.org/22e311a3-b404-4d04-b908-2832731c97b4#gs.e54y1z
  • Imperial College Business School - Business Analytics: From Data to Decisions - https://certificates.emeritus.org/909b6f22-f681-4373-854b-f0ec023c2e07#gs.e55210
  • The London School of Economics and Political Science (LSE) - Machine Learning: Practical Applications - https://lse.credential.getsmarter.com/daed2701-216c-4b20-8d72-3fbd507072c0#gs.e556y6
  • The London School of Economics and Political Science (LSE): Data Analysis for Management - https://lse.credential.getsmarter.com/d76cf179-6335-416d-bd71-c5fe049c0096#gs.e559rr

Fundamental Knowledge of

  • Azure SQL Database, Azure SQL Managed Instance, Azure Synapse Analytics, Azure Cosmos DB, Azure Blob Storage, Azure Data Lake Storage Gen2, Hadoop – Azure HDInsight, Apache Spark – Azure Databricks, Azure Data Factory, Power BI.
  • Machine Learning Concepts.
  • Retail Business Concepts.

Timeline

Senior Data Quality Analyst

Tata Consultancy Services - Primark
09.2024 - 06.2025

Cybersecurity Risk Analyst

Tata Consultancy Services - Primark
06.2024 - 08.2024

Data Quality Analyst – Data Engineering

Tata Consultancy Services - Primark
03.2023 - 05.2024

Change Manager – Data Engineering

Tata Consultancy Services - Primark
03.2023 - 05.2024

Process Engineer – Data Engineering

Tata Consultancy Services - Primark
03.2023 - 05.2024

Oracle Application Management System Analyst

Tata Consultancy Services - Primark
11.2021 - 01.2023

Bachelor of Science - Mathematics

University of York
10.2017 - 09.2020
Kanaad Chitgopkar