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ahmed_arslan25

Arslan

@ahmed_arslan25

Building End to End Azure Data Pipelines with Databricks and Power BI

Pakistan
English
About me
I’m Arslan Ahmed, a Senior Data Engineer specializing in end-to-end Azure data solutions. I build and automate ETL pipelines using Azure Data Factory, Databricks (PySpark, Spark SQL), and Power BI. My work focuses on connecting diverse data sources, transforming and structuring data into curated layers, and enabling analytics through efficient cloud-based architectures. I deliver reliable, optimized, and well-documented solutions aligned with client KPIs.... Read more

Skills

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ahmed_arslan25
Arslan
Offline • 
Average response time: 1 hour

See my services

Data ETLs
I will build and automate azure etl pipelines using azure data factory and databricks
From$35 / projectMore details
Design & Optimization
I will write, optimise and fix your sql queries, stored procedures, views and databases
From$15 / projectMore details

Portfolio

Work experience

Self_Employed

Data Engineer

Self Employed • Freelance

Nov 2025 - Present • 6 mos

Designed and implemented an end-to-end medallion architecture (Bronze → Silver → Gold) on Microsoft Fabric, ingesting financial data from Fortnox ERP REST API and SIE v4 accounting files into structured Delta Lake tables using PySpark

STC_Engineering

Data Engineer

STC Engineering • Full-time

Jan 2025 - Nov 2025 • 10 mos

Built scalable ETL pipelines and automated data reconciliation for telecom clients using PySpark, SQL, Oozie, and Shell. Delivered billing accuracy by integrating data between Huawei CBS and Oracle CRM. Also developed Azure Data Engineering pipelines using ADF, Databricks, Delta Lake, and Power BI, implementing medallion architecture and CI/CD for end-to-end automation.

Huawei

CEM Data Engineer

Huawei • Full-time

Dec 2022 - Dec 2024 • 2 yrs

Data Accuracy and Verification : Delivered data accuracy and verification projects for top telecom clients (Iraq Asia Cell, Cameroon MTN, South Africa MTN) by:  Extracting data from Huawei Smart Care’s Carbon Database using SQL  Ensuring data quality through cleaning and preprocessing with SQL and Python  Verifying KPIs within acceptable ranges  Collaborating with R&D to resolve discrepancies Service analysis : Performed comprehensive analysis and reporting for clients (Cote d'Ivoire MTN, Iraq Zain) across various scenarios, including:  Video, roaming, terminal, fraud, and OTT analysis  Created a cron job task to fetch data daily and weekly, as per customer requirements  Utilized SQL and Excel for data cleansing  Developed detailed reports and data visualizations using Power BI and Excel to monitor service usage and KPIs, identify areas for improvement, inform data-driven decisions.