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Data Engineer with 9+ years in SQL, Python, Power BI & Cloud platforms
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Analyst / Data Engineer with 9+ years of experience delivering data analytics, retail insights, ETL pipelines, and cloud-based reporting solutions across Amazon, GIGABYTE, Trinity Technolabs, and Wipro. Strong expertise in SQL, Python, Power BI, AWS, Snowflake, and customer analytics, with experience analysing large-scale operational and shopper datasets to drive business decisions, campaign insights, and performance optimisation. Skilled in stakeholder management, dashboard development, audience segmentation, KPI reporting, and privacy-focused data workflows within enterprise environments.
University of Leicester
MSc · Advanced Computer Science
August 1, 2022 – June 30, 2024
VIT University
B.Tech · Electrical and Electronics Engineering
August 1, 2010 – June 30, 2014
Amazon Robotic Site
Inventory & Data Quality Analyst
August 1, 2024 – Present
Mansfield, England, United Kingdom
GIGABYTE Infocomm Pvt. Ltd.
Data Engineer – ETL Pipeline Developer
August 1, 2020 – September 1, 2022
India
Trinity Technolabs
Data Engineer
August 1, 2016 – July 1, 2020
India
Wipro Technologies
Data Engineer
June 1, 2014 – July 1, 2016
Hyderābād, Telangana, India
Business Insight Engine (Analytics Platform)
June 29, 2026 – Present
Developed interactive Power BI dashboards analysing customer sentiment and behavioural trends using Python, Flask, and GPT-4 via LangChain for natural-language insight generation. Built AWS-based analytics workflows using S3, Lambda, Glue, and Redshift to support predictive insights, anomaly detection, and continuous data processing. Supported audience-focused analytics and customer insight generation through data modelling and reporting automation.
Housing Price Prediction Model
June 29, 2026 – Present
Analysed 25K+ property and demographic records using Python (pandas) to identify customer behaviour patterns, pricing drivers, and market trends. Implemented machine learning models (Random Forest, XGBoost) and integrated predictive insights into interactive Power BI dashboards for business analysis and market evaluation.
Microsoft Certified: Fabric Data Engineer Associate
Microsoft
January 1, 2025 – Present
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
January 1, 2025 – Present
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from professional analytics platforms to academic machine learning models, indicates adaptability and a broad interest in data-related challenges. Their experience across different companies (Amazon, GIGABYTE, Trinity, Wipro) and industries (retail, telecom) suggests a good ability to integrate into various organizational cultures. The breadth of skills, including cloud platforms (AWS, Azure, Snowflake), various data engineering tools (Airflow, Spark, dbt), and BI tools (Power BI, Tableau), shows a willingness to learn and apply new technologies, which is a positive indicator for cultural fit in an evolving tech environment.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills through their experience in cross-functional collaboration, stakeholder management, and requirements gathering. Their work on improving reporting efficiency, data quality, and reducing investigation timelines indicates a proactive and problem-solving attitude. The psychometric test score suggests good logical reasoning, work attitude, stress handling, and team collaboration, which are crucial for operational fit in a senior role.