Data science and analytics graduate with experience as a Graduate Research Assistant at the University of Oklahoma and as a Data Engineer at Metallco Software Private Limited. Skilled in SQL, Python, R, Azure, Tableau, P…
Data science and analytics graduate with experience as a Graduate Research Assistant at the University of Oklahoma and as a Data Engineer at Metallco Software Private Limited. Skilled in SQL, Python, R, Azure, Tableau, Power BI, Hadoop, Hive, Spark, Sqoop, Git, and ArcGIS Pro, with experience building ETL pipelines, web scraping tools, dashboards, and data analysis workflows.
Built an ETL data automation pipeline using Python and R to wrangle unstructured pathogens data to structured formats, by extraction and transformation reducing manual work by 10 hours per week.
Developed another R-based ETL pipeline for statistical processing to infer results for reporting on dashboard, reducing 6 hours of manual work per file across 9 monthly files.
Created interactive geospatial visualizations and statistical infographics using ArcGIS dashboard.
Leveraged Apache Sqoop for ETL workflows, extracting data from relational databases and loading it into the HDFS, ensuring smooth data integration and reducing data processing time by 30%.
Utilized Apache Hive for data modeling and SQL analysis, resulting in 40% acceleration in query responses.
Employed Azure Data Factory (ADF) for end-to-end data orchestration, resulting in a notable 25% improvement in data delivery speed and accuracy.
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