u
umerhassankhan1

Umer Khan

@umerhassankhan1

Data Engineer

Pakistán
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I am a Data Engineer specializing in building reliable ETL/ELT pipelines, API integrations, and data transformation solutions. I work with Python, SQL, AWS, Azure, Microsoft Fabric, Snowflake, and Databricks to integrate data from APIs, CSV/JSON files, cloud platforms, and databases. I can help with data extraction, cleansing, deduplication, automation, migration, and analytics-ready datasets. I focus on building scalable, efficient, and reliable data solutions tailored to your business needs.... Lee más

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umerhassankhan1
Umer Khan
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Experiencia laboral

Bytewise_Limited

Data Engineer

Bytewise Limited • Tiempo completo

Feb 2024 - Present • 2 yrs 6 mos

Designed and developed end-to-end ETL/ELT data pipelines using Python, SQL, Microsoft Fabric, Snowflake, AWS, and Databricks for diverse client requirements. Integrated data from APIs, CSV/JSON files, cloud storage, SaaS platforms, and relational databases, transforming raw data into analytics-ready datasets. Built data pipelines using Microsoft Fabric Lakehouse, Data Warehouse, Notebooks, Medallion Architecture, and star-schema data modeling. Developed Snowflake-centric ELT solutions using stages, file formats, COPY INTO, internal/external tables, VARIANT, and advanced SQL transformations. Implemented data cleansing, normalization, deduplication, validation, joins, aggregations, and business-rule transformations to improve data quality. Built scalable AWS-based pipelines using S3, Lambda, Glue (PySpark), Redshift, Step Functions, and EventBridge. Worked with Databricks and PySpark for distributed processing of large and semi-structured datasets. Automated and monitored data workflows using scheduling and orchestration tools, ensuring reliable data delivery for reporting and analytics. Troubleshot pipeline failures, data-quality issues, schema changes, and performance bottlenecks while delivering solutions aligned with client business requirements.