Ganesh Sundaresan

• Experienced Senior Data Engineer with a proven track record of leveraging cutting-edge technologies to drive actionable insights
• Skilled in optimizing data infrastructure and implementing ML solutions using Redshift, Snowflake, Dbt, and Looker ML
• Collaborating with GoFundMe to enhance data architecture and streamline analytics processes, delivering valuable business outcomes.

• Utilized PostgreSQL and Snowflake for data storage and facilitated efficient data flow by migrating source extracts from Amazon Redshift and designed tableau dashboards for financial reporting, data quality checks, and user interface testing
• Leveraging AWS Glue, I automated ETL processes for data extraction, transformation, and loading compare data definitions between the source in Redshift and the target Snowflake data warehouse connected via Glue
• Constructed intricate data models tailored to meet complex analysis needs and harnessed Python scripts to automate and collate source data extracts into our testing environment
• Spearheaded internal process improvements to automate repetitive tasks across the data pipeline this included potentially using AWS Lambda serverless functions for specific data processing steps or tasks triggered by new data arrival in S3.

• Implemented efficient Cloud-Based ETL Pipelines by leveraging the power of AWS services utilizing Amazon S3, Amazon Glue to automate data extraction, transformation, and loading tasks and also used it for data quality checks and data cataloging
• My expertise in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB) allowed me to optimize data models for efficient data retrieval and analysis
• My proficiency extends to various data management tools, including Talend and Informatica and working with cloud-based data warehousing solutions like Amazon Redshift.

• I collaborated with stakeholders to create dashboards and visualizations and provided guidance to internal teams on leveraging analytical tools like Tableau, Snowflake, Amazon S3 and Redshift for data-driven decisions
• Utilizing Snowflake, I cleaned and integrated data for enhanced usability and data mining techniques to uncover hidden patterns and trends within the data for deeper analysis
• Optionally using Amazon Glue for automating ETL processes if manual data manipulation was a significant bottleneck
• Conducted training sessions on data cleaning, wrangling, and automation techniques, empowering teams to enhance data quality and efficiency
• Applied advanced statistical techniques to identify trends and patterns within large datasets

• Enhanced sales techniques and marketing plans
• Boosted revenue by bringing in and cementing relationships with new clients

• Analyzed data to support stock maintenance, leveraging Snowflake for efficient data processing
• Utilized Excel and other tools to develop macros, streamlining processes and ensuring data accuracy
• Identified areas for improvement through thorough analysis
• Additionally, generated reports using Tableau for enhanced visualization
• Recognized with awards such as 'First Among Equals', 'Customer Delight', and 'Team Leadership' for outstanding contributions
• Evaluated 260k+ records for accuracy, value, and status of preservation.

Percentage: 91.13%

Percentage: 80.42%

Percentage: 6.65