With 3+ years of experience in Data Engineering, I have successfully designed, developed and maintained the data pipeline, resulting in a 42% reduction in data processing time. By automating ETL processes and using effic…
With 3+ years of experience in Data Engineering, I have successfully designed, developed and maintained the data pipeline, resulting in a 42% reduction in data processing time. By automating ETL processes and using efficient workflows, I improved data accuracy by 26%.
With 3+ years of experience, excelled in data engineering roles at Persistent Systems and Zimetrics
Technologies,
Maintained data pipeline up-time of 99.8% while ingesting data across different data sources using
Spark, SQL, Athena, S3, Aurora, Airflow, EMR and Python.
Increasing data processing efficiency by 50%, reducing manual workload by 29%, and driving data
accuracy by 20%. Implemented scalable pipelines, resulting in 50% faster processing time, and saved
$100K annually. Proven track record of delivering results in just 3 years.
Successfully converted on premise data pipeline to BigQuery, resulting in a 50% increase in data processing efficiency.
Streamlined processes by 30% by understanding business functionality and analyzing business requirements leading to a 25% increase in productivity.
Achieved 20% increase in data accuracy through BigQuery validation and testing, driving improved decision-making.
Successfully loaded and transformed 10,000+ data records into BigQuery using Kronos ETL tool, ensuring accurate and timely data for analysis.
Revised reporting efficiency by 50% using Looker Studio resulting in faster data validation and increased productivity.
Implemented raw, base, and compute layers in BigQuery Database, improving data storage capacity by 50%.
Boosted project completion rate by 15% and optimized project management through Jira ticket tracking system.
Git Code repository was used to maintain the code.
Designed Data Pipeline workflows for efficient extraction, transformation, and loading, which reduced data processing time by 42%.
Crafted and deployed data governance plan resulting in 95% reduction in data errors and elevated data quality for reporting.
Maintained data pipeline up-time of 99.8% while ingesting data across different data sources using Spark, Athena, S3, Aurora and Python.
Automated ETL processes across billions of rows of data, which reduced manual workload by 29% monthly.
Enhanced data ingestion process by 50%, utilizing SQL for faster and more efficient data retrieval, leading to improved decision-making.
Google API, Facebook API using Php, Python to create data views to be used in BI tools like Tableau.
Communicated with project managers and analysts about data pipelines that drove efficiency KPIs up by 26%.
Implemented scalable data pipeline, reducing data processing time by 50% and saving $100K annually.
Developed data quality checks, reducing data errors by 75% and ensuring accurate and reliable data for decision making.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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