u
uzair_muhammed

Muhammad Uzair

@uzair_muhammed

Data Engineer ,ETL Pipelines, Spark and Cloud Data Warehouse Expert

Pakistan
English
About me
Data Engineer | 4+ years building ETL pipelines, data warehouses & real-time streaming systems. Expert in Python, Apache Airflow, Apache Spark, dbt, Snowflake, BigQuery, Amazon Redshift, AWS Glue, Apache Kafka & PostgreSQL. I design scalable ETL pipeline solutions and cloud data warehouse architectures that transform raw data into reliable, query-ready insights. Experienced in data pipeline automation, Snowflake schema design, dbt modeling, BigQuery optimization, and data architecture audits. Clean, documented, production-grade delivery. Message me to discuss your project.... Read more

Skills

u
uzair_muhammed
Muhammad Uzair
Offline • 
Average response time: 1 hour

See my services

Data ETLs
I will build a custom etl data pipeline using python and apache airflow
From$50 / projectMore details
Data Warehouse
I will design and build your snowflake or bigquery data warehouse
From$80 / projectMore details

Portfolio

Work experience

Huawei

Data Engineer

Huawei • Full-time

Aug 2022 - Feb 2024 • 1 yr 6 mos

• Managed and maintained 30+ production-grade data pipelines ensuring high availability, performance SLAs, and on-time scheduled reporting for enterprise stakeholders. • Designed HR data pipelines and an executive dashboard for Huawei Egypt GSC (used by Directors, BUs, and Team Leaders), saving 38 hours per week while enforcing strict data security and governance standards. • Built an equipment workflow tracking dashboard consolidating data from 16 separate platforms into a single view, enabling SLA compliance monitoring and real-time issue resolution — adopted by 600+ users and reducing the cost of one FTE resource. • Developed a core KPI performance dashboard used by 2,500+ employees daily to monitor department and individual-level efficiency, saving 20 hours per week of manual reporting effort. • Led the Data Engineering team to enhance data governance frameworks and deliver high-quality data assets for the BI analytics team.