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Umer Farooq
@umer_de007
Level 1
Transforming big data into actionable insights with tech expertise
Pakistán
Inglés, Urdu, Pashto
Sobre mí
Hello, I’m Umer Farooq, a Big Data Engineer with 5+ years of experience in data engineering, warehousing, and analytics. Proficient in Apache Spark, Hadoop, Kafka, Pig, and Hive, and skilled in cloud platforms like Azure and Google Cloud. I excel in designing ETL pipelines, large-scale data analysis, and advanced SQL queries.
Our team, including Atif Yousaf (Senior Data Engineer) and Jalal Khan (Machine Learning Engineer), collaborates to deliver top-notch data solutions tailored to your needs.
Habilidades
Umer Farooq
USD 7/hora
desconectado •
Tiempo medio de respuesta: 1 hora
Revisa mis servicios
Consultoría de ingeniería de datos
I will provide hadoop, spark, scala, python, sql, nosql, hive, azure, cloudera services
Consultoría de ingeniería de datos
I will provide airflow, nifi, mongodb, kafka, hbase, spark, and pyspark services
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Dile a Umer Farooq qué necesitas.
USD 7
/
horaPorfolio
Experiencia laboral
Assistant Director QA & Data Management
Bahria University • Tiempo completo
Jan 2026 - Present • 4 mos
- Oversee QA standards and system reliability - Implement automation to improve processes - Manage data quality, security, and integrity - Coordinate QA and testing across departments - Monitor performance and generate reports - Ensure policy and compliance adherence
Freelance Data Engineer
Self Employed (Fiverr Upwork) • Freelance
May 2022 - Present • 4 yrs
Engineered scalable ETL pipelines for global clients using Apache NiFi, Airflow, Cloudera, and Hadoop ecosystems. Developed Python and SQL scripts to automate data workflows in Linux environments, ensuring high performance and data integrity. Delivered data analysis and reporting solutions, optimizing client workflows with real-time analytics and robust data transformations.
Managed Data Engineer
Blutech Consulting • Tiempo completo
May 2022 - Dec 2023 • 1 yr 7 mos
Supported data engineering initiatives by processing and validating large datasets for client projects. Assisted in ETL workflows using Python and SQL, focusing on data cleaning and transformation. Collaborated with senior engineers to implement quality checks, reducing data errors by 15% and improving reporting accuracy.
6 Reseñas
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1-5 de 6 reseñas
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