About
Data analyst with 2+ years at Amazon and TCS turning multi-source data into KPIs, dashboards, and reports that business teams act on. Hands-on in SQL, Python, advanced Excel, and Amazon QuickSight, with a track record of automating manual reporting and resolving data quality issues. M.Sc. in Data Science from Universität Trier.
Skills & Expertise (28)
Work Experience
Professional Development: AI & Data Engineering
Self-directed
Apr 2026 - Present
Upskilled across analytics, AI, and data engineering, as measured by 4 certifications completed in 2026 (Databricks, SAP Analytics Cloud, Generative AI with LLMs, Google BI). Built industry-ready data projects, as measured by 2 new tested, CI-backed repositories (LakeCatalog AI, DevGraph-RL) published on GitHub and portfolio site. Kept one bad row from blocking 66,000 good ones, as measured by a 0.18% quarantine rate (123 of 66,773 rows), via a PySpark data validation layer on Databricks. Separated real data errors from valid business cases, as measured by negative payments confirmed as legitimate claim adjustments, by investigating flagged discrepancies.
Business Intelligence Engineer
Amazon
Sep 2025 - Mar 2026
Defined and standardised KPIs for the SWA program, as measured by 40 metrics served from one warehouse (14 Finance, 12 FM, 6 MM, 8 LM), via a semantic layer. Freed the Credit & Compliance team from a 10-hour weekly manual process, as measured by 3 sources unified into 1 daily auto-refreshing dashboard, by building its pipeline. Kept Marketplace’s morning business reviews on same-day data, as measured by eliminating a 1-day reporting lag, via a spreadsheet-to-ETL tool for business users. Made Finance’s numbers the single source of truth across SWA, as measured by 14 Finance metrics, by sourcing every calculation from the Finance team’s P&L Report.
Data Engineer Intern
Amazon
Mar 2024 - Sep 2024
Gave stakeholders back 10 hours a week, as measured by 10 hours of manual reporting eliminated weekly, by building an automated Amazon QuickSight dashboard. Eliminated the manual data-processing bottleneck, as measured by 95 of every 100 interventions removed, by automating scheduling, validation, and monitoring. Made large-scale analytical queries faster, as measured by a 15% cut in query latency, by optimising SQL and PySpark transformations across distributed data. Cut processing time by 30% for 100+ downstream analysts, as measured across 1TB+ of data, by consolidating 6 source systems into a centralised data lake.
Data Analyst (A.S.E)
Tata Consultancy Services
Aug 2021 - Sep 2022
Turned complex system data into decisions non-technical teams could act on, as measured by 15+ operational dashboards delivered, by translating raw data into insights. Compressed defect turnaround from 3 days to same-day, as measured across 50+ Jira-tracked tickets, by investigating and resolving recurring data quality issues. Cut manual data preparation by 8 hours a week across a team of 12, as measured by pipeline throughput, by automating recurring reporting workflows. Reduced production bugs by 20%, as measured across downstream reporting consumers, by building tested Python and SQL data pipelines with Git version control.
Education
Master of Science in Data Science (Specialisation in Natural Language Processing) - Universität Trier
2022 - 2025 · Afghanistan
Bachelor of Engineering in Computer Science - Visvesvaraya Technological University
2017 - 2021 · Afghanistan
Certifications
Databricks Certified Data Engineer Associate
· 2026
SAP Certified Associate: SAP Analytics Cloud
· 2026
Generative AI with Large Language Models
DeepLearning.AI · 2026
Google Business Intelligence Professional Certificate
· 2026
AWS Certified Cloud Practitioner
· 2025
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Skills (28)
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