u
uzair_muhammed

Muhammad Uzair

@uzair_muhammed

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

Pakistan
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
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.... Plus d’infos

Compétences

u
uzair_muhammed
Muhammad Uzair
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

ETL de données
I will build a custom etl data pipeline using python and apache airflow
De50 $US / projetPlus de détails
Entrepôt de données
I will design and build your snowflake or bigquery data warehouse
De80 $US / projetPlus de détails

Portfolio

Expérience professionnelle

Huawei

Data Engineer

Huawei • Temps plein

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.