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Data Engineer with 1+ years in Azure Data Factory & Databricks
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Azure-focused Data Engineer with hands-on experience in Azure Data Factory, Azure Databricks, T-SQL, REST API integration, and cloud data migration. Demonstrated ability to lead ADF pipeline monitoring, automation, and data integration projects in enterprise settings. Strong foundation in Python, PySpark, and SQL, with a track record of improving pipeline reliability and operational efficiency. MS in Data Science from a UK university.
Royal Holloway, University of London, UK
MS · Data Science and Data Analytics
January 1, 2022 – December 1, 2023
Loyola ICAM College of Engineering & Technology, Chennai
B.Tech · Information Technology
June 1, 2016 – April 1, 2020
Frasers Group PLC
Data Engineer
September 1, 2025 – December 1, 2025
United Kingdom
Frasers Group PLC
Junior Data Engineer
May 1, 2024 – September 1, 2025
United Kingdom
ADF Pipeline Monitoring & Automation
June 23, 2026 – Present
Programmatically stabilised Azure Data Factory using REST APIs to identify and decommission failing pipelines. Built automated hourly monitoring alerts, improving reliability and reducing operational costs significantly.
Invoice Automation with Power Automate
June 23, 2026 – Present
Automated end-to-end invoice ingestion: email extraction via Power Automate, ADF pipeline trigger, and near-real-time load into GCP - eliminating manual data entry and improving reporting freshness.
API & SFTP Data Integration
June 23, 2026 – Present
Designed ingestion pipelines using Python and Dataproc to pull and validate energy and loss-prevention data into Oracle and GCP datasets.
GCP Migration (Snowflake to BigQuery)
June 23, 2026 – Present
Supported cloud warehouse migration; redesigned SQL models reducing BigQuery scan volume from 2TB to 957GB (>50%).
Cultural Fit Analysis
The candidate has professional experience in a single company (Frasers Group PLC) with progression from Junior Data Engineer to Data Engineer, indicating loyalty and growth within an organization. The projects demonstrate a breadth of technical skills across different cloud platforms (Azure, GCP) and integration methods, suggesting adaptability and a willingness to learn new technologies. The MS in Data Science further supports a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in performance tuning and architecture improvements, stakeholder collaboration for requirements translation, and a focus on improving pipeline reliability and operational efficiency. These indicate strong problem-solving, ownership, and communication skills crucial for a senior data engineer role.