Aslam Data Engineering

Azure Certified Data Engineer with 3+ years of experience designing, developing, and deploying data processing solutions using Azure Databricks, Python, and SQL. Skilled in ETL pipeline design, data warehousing, data modelling (Star schema, Snowflake Schema), and Spark performance optimization within Azure environments. A proactive problem solver with strong project management and leadership skills, adept at managing timelines.

Worked with an Agile team and regularly communicated project progress and updates to the customer daily.

Data Engineer - DXC Technology

(2023-03)

• Created ADF pipelines to ingest source data from diverse systems (SQL Databases, Teradata, SAP HANA, SFTP, SharePoint, APIs) into ADLS Gen2 and Blob Storage in Parquet format.
• Designed and implemented scalable ETL pipelines using Azure Data factory to ingest structured and semi structured data into ADLS, Improved data ingestion efficiency and reliability.
• Worked in parameterizing data pipelines with triggers, dependencies to enable scalable orchestration and automation.
• In Azure Databricks we have implemented Medallion architecture (Bronze, silver, Gold) to deliver high quality data across retail domain.
• Developed and optimized transformation workflows using PySpark, SQL, and Delta Lake, reducing data processing time by ~30% through effective partitioning, caching, and job optimization.
• Owned the complete data lifecycle from raw ingestion to curated business datasets, enhancing data delivery timeliness and accuracy for downstream analytics teams.
• Established and maintained a high-availability standard by automating and orchestrating workflows using Databricks Workflows and ADF triggers.
• Implemented robust data validation, cleansing, and lineage tracking, achieving 99.9% data accuracy and significantly reducing manual reprocessing.
• Collaborated cross-functionally with QA teams, Scrum Masters, and business stakeholders to translate functional requirements into scalable, production-grade data solutions ensuring timely, high-quality delivery within Agile sprints.
• Led incident resolution efforts through root-cause, minimizing downtime and enhancing overall system stability.

A.I.T.S Engineering college (2018 - 2022)