Vishnu Vardhan Email & Phone Number | ● Proactive, confident, goal oriented and attentive Data Engineer with 5+ years of experience including AWS cloud services. ● Implemented data synchronization mechanisms between DynamoDB tables and external data sources using AWS Glue. ● Implemented data ingestion workflows to extract data from various sources such as Amazon S3, RDS, DynamoDB, and Redshift. ● Implemented a dynamic pipeline leveraging a single pipeline to efficiently extract multiple files and load them into multiple targets. ● Documented the end-to-end process of designing, developing, and deploying the incremental and historical data pipeline, including configuration settings, data mappings, and workflow orchestration, ensuring knowledge sharing and maintainability. ● Successfully designed and implemented automated workflows, constructing pipelines with triggers for seamless and efficient data processing. ● Configured and managed SQS queues and SNS topics effectively to ensure efficient message delivery and processing, facilitating seamless communication between components within the ecosystem. ● Designed and implemented a Framework pipeline solution using AWS Glue to ingest data incrementally and historically from a JDBC source into DynamoDB, ensuring efficient data synchronization and storage. ● Enhanced code performance and scalability by refactoring SQL notebooks to Pyspark, thereby optimizing data processing capabilities and streamlining workflow efficiency. ● Utilized strong business acumen and data science techniques to solve complex business problems related to climate resilience. ● Conducted extensive data preparation, wrangling, and quality assessments to ensure high-quality data for analysis. ● Experience in designing dashboards, Visualization and reports using MS Power BI and Tableau. ● Proficient in all stages of the Software Development Life Cycle (SDLC), including requirements gathering and analysis, design, coding, code reviews, testing, and performance tuning. ● Implemented AWS Glue pipelines integrated with Amazon Textract for accurate text extraction from PDFs, adeptly managing data flow and transformation processes. ● Implemented efficient partition keys and sort keys to distribute data evenly and facilitate fast query performance and utilized DynamoDB best practices such as single-table design to minimize read and write costs and improve overall efficiency. ● Applied Agile methodologies proficiently to plan, execute, and deliver software projects, consistently meeting or exceeding project milestones and ensuring alignment with business objectives.

Vishnu Vardhan

● Proactive, confident, goal oriented and attentive Data Engineer with 5+ years of experience includ...
Ypsilanti, Michigan, United States

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Vishnu Vardhan’s Email vishnu.vardhan@nexteraenergy.com

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Vishnu Vardhan’s Location Ypsilanti, Michigan, United States

Vishnu Vardhan’s Current Industry Florida Power And Light

Vishnu Vardhan’s Prior Industry Accenture

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Work Experience

Florida Power And Light

Data Engineer

2023-10-01 00:00:00 - Present

Accenture

Software Engineer

2020-01-01 00:00:00 - 2021-08-01 00:00:00

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FAQ About Vishnu Vardhan

Vishnu Vardhan is located at
Ypsilanti, Michigan, United States

Vishnu Vardhan is a ● Proactive, confident, goal oriented and attentive Data Engineer with 5+ years of experience including AWS cloud services. ● Implemented data synchronization mechanisms between DynamoDB tables and external data sources using AWS Glue. ● Implemented data ingestion workflows to extract data from various sources such as Amazon S3, RDS, DynamoDB, and Redshift. ● Implemented a dynamic pipeline leveraging a single pipeline to efficiently extract multiple files and load them into multiple targets. ● Documented the end-to-end process of designing, developing, and deploying the incremental and historical data pipeline, including configuration settings, data mappings, and workflow orchestration, ensuring knowledge sharing and maintainability. ● Successfully designed and implemented automated workflows, constructing pipelines with triggers for seamless and efficient data processing. ● Configured and managed SQS queues and SNS topics effectively to ensure efficient message delivery and processing, facilitating seamless communication between components within the ecosystem. ● Designed and implemented a Framework pipeline solution using AWS Glue to ingest data incrementally and historically from a JDBC source into DynamoDB, ensuring efficient data synchronization and storage. ● Enhanced code performance and scalability by refactoring SQL notebooks to Pyspark, thereby optimizing data processing capabilities and streamlining workflow efficiency. ● Utilized strong business acumen and data science techniques to solve complex business problems related to climate resilience. ● Conducted extensive data preparation, wrangling, and quality assessments to ensure high-quality data for analysis. ● Experience in designing dashboards, Visualization and reports using MS Power BI and Tableau. ● Proficient in all stages of the Software Development Life Cycle (SDLC), including requirements gathering and analysis, design, coding, code reviews, testing, and performance tuning. ● Implemented AWS Glue pipelines integrated with Amazon Textract for accurate text extraction from PDFs, adeptly managing data flow and transformation processes. ● Implemented efficient partition keys and sort keys to distribute data evenly and facilitate fast query performance and utilized DynamoDB best practices such as single-table design to minimize read and write costs and improve overall efficiency. ● Applied Agile methodologies proficiently to plan, execute, and deliver software projects, consistently meeting or exceeding project milestones and ensuring alignment with business objectives.