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Muhammad J.

Muhammad J.

Experienced Data Engineer | PySpark | ETL | Data Integration

Greetings! I am a highly skilled Data Engineer with several years of experience in transforming raw data into valuable insights. My expertise lies in utilizing cutting-edge technologies like PySpark and etc. to design and implement robust ETL pipelines, ensuring seamless data integration and driving data-centric solutions. Key Skills: Data Engineering: ETL pipelines, data integration, data transformation Tools: PySpark, Databricks, Informatica Languages: Python, SQL Big Data Technologies: Hadoop, Hive ETL Tools: SSIS, Sqoop, Informatica Cloud Platforms: Microsoft Azure | AWS Why Choose Me: As a seasoned Data Engineer, I understand the importance of transforming raw data into actionable insights. My technical prowess, combined with my ability to communicate complex ideas in a clear and concise manner, allows me to bridge the gap between technical and non-technical stakeholders. Whether it's designing end-to-end ETL solutions or troubleshooting data integration challenges, I am committed to delivering exceptional results that drive your data-driven goals. Let's Collaborate: If you're seeking a dedicated Data Engineer who is passionate about optimizing data workflows, integrating diverse datasets, and enhancing your data-driven decision-making processes, let's connect. I am excited to contribute my expertise to your projects and deliver solutions that empower your business.

🇵🇰Karachi, Pakistan$25/hr80% JSSSince Dec 2018

Earnings and projects

MRR (estimate)
≈$0

An estimate from an earlier read

World#342,950 / 412k
🇵🇰Country#42,114 / 52.9k
Revenue, last 30 days
$0
Total earnings
$1.8k

Billed in all: $1.9k

World#342,950 / 412k
🇵🇰Country#42,114 / 52.9k
Per project
$1.8k
Projects, last 6 months
0
World#209,850 / 412k
🇵🇰Country#32,103 / 52.9k
Projects in all
1
0% fixed100% hourly
World#360,671 / 412k
🇵🇰Country#50,390 / 52.9k

Earnings, last 30 days

$1.9kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$1,860$1,880$1,900$1,920Oct 9Oct 24Nov 8

No data since Nov 5, 2026.

Skills