With almost 2 years of expertise as a data consultant, my expertise in data engineering, ETL pipelines, and data modeling, I am looking to leverage my technical and problem-solving skills to drive positive business outco…
With almost 2 years of expertise as a data consultant, my expertise in data engineering, ETL pipelines, and data modeling, I am looking to leverage my technical and problem-solving skills to drive positive business outcomes for my next organization.
Developed and executed SQL queries on a daily basis to provide real-time data insights, making it easier for stakeholders.
Developed a customized script in python on the IBM campaign management tool to optimize query performance.
Developed and implemented an alert system that notified the appropriate team members whenever a query exceeded its execution time threshold, ultimately
reducing query response times by 40%.
By leveraging Python and ODBC to seamlessly integrate the tool with Oracle 19c were able to optimize query performance and increase the customer base by
10%, resulting in a significant boost in revenue for the client.
Collaborated with cross-functional teams to define data requirements and design efficient ETL processes, resulting in a 60% increase in data accuracy and
reliability.
Developed a script using pandas, matplotlib, plotly, and openpyxl to automate the integration of weekly reports into a single PowerPoint presentation, saving
an average of 10 hours per week.
Developed and executed SQL queries on a daily basis to provide real-time data insights, making it easier for stakeholders.
Developed a customized script in Python on the IBM campaign management tool to optimize query performance.
Developed and implemented an alert system that notified the appropriate team members whenever a query exceeded its execution time threshold, ultimately reducing query response times by 40%.
By leveraging Python and ODBC to seamlessly integrate the tool with Oracle 19c were able to optimize query performance and increase the customer base by 10%, resulting in a significant boost in revenue for the client.
Collaborated with cross-functional teams to define data requirements and design efficient ETL processes, resulting in a 60% increase in data accuracy and reliability.
Developed a script using pandas, matplotlib, plotly, and openpyxl to automate the integration of weekly reports into a single PowerPoint presentation, saving an average of 10 hours per week.
Developed and implemented a scalable data pipeline system using Python and data analysis libraries, resulting in a 50% reduction in data processing time.
Successfully migrated an existing on-premises data infrastructure to an AWS EC2 cluster, resulting in a 75% decrease in hardware costs and improved scalability for future growth.
Collaborated with cross-functional teams to define data requirements and design efficient ETL processes.
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