Arslan User
@arslanuser4
Lead Data Engineer at Enterprium designing Azure lakehouses and batch and streaming pipelines for enterprise analytics.
United StatesWhat I'm looking for
At Enterprium, I design enterprise data warehouses, lakes, and lakehouses, and develop batch and streaming pipelines with Azure Databricks, Spark, Python, and SQL. I also build Power BI solutions for business reporting.
At IBM, I architected Azure Databricks workflows and relational models, and optimized distributed workloads. I led ETL/ELT delivery for billions of records under production service-level agreements.
At S&P Global, I built fault-tolerant Spark applications and ETL pipelines integrating databases, APIs, CSV, and JSON. I also developed incremental loads with Azure Data Factory and Python and supported selected migrations to Azure.
Experience
Work history, roles, and key accomplishments
B2B / C2C Independent Data Consultant
Enterprium
Jan 2025 - Present (1 year 9 months)
Designs data warehouses, lakes, and lakehouses for enterprise integration and analytics. Develops batch and streaming ETL/ELT pipelines using Azure Databricks, Spark, PySpark, Python, and SQL.
Architected Azure Databricks batch and streaming ETL/ELT workflows and relational models. Optimized Spark, PySpark, and Scala workloads for distributed processing performance.
Built fault-tolerant distributed batch and event-streaming applications using Apache Spark. Optimized Spark memory, shuffles, and cluster settings; worked with Parquet, Avro, and ORC storage formats.
Education
Degrees, certifications, and relevant coursework
Boston College of Engineering
Bachelor of Science, Software Engineering
Bachelor of Science in Software Engineering from Boston College of Engineering, completed in July 2019.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Website
enterprium.comSalary expectations
Social media
Job categories
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