u
uzair_muhammed

Muhammad Uzair

@uzair_muhammed

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

Pakistan
Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
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.... Continua a leggere

Competenze

u
uzair_muhammed
Muhammad Uzair
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Dati ETL
I will build a custom etl data pipeline using python and apache airflow
A partire da50 USD / progettoMaggiori dettagli
Data Warehouse
I will design and build your snowflake or bigquery data warehouse
A partire da80 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

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.