Lakshmikanth Vijaykumar

Evolved from a Developer to actively participating in Requirement and Functional impact analyses for new requirements/enhancements.
Engaged with end-users, addressing inquiries related to data and mapping during the release of a new system, replacing a legacy system.
Identified and addressed gap in a complex ETL query for a legacy system post the introduction of a new system.
Conducted a thorough analysis, found the root cause, and proposed a logical fix.
Completed training on newly implemented Azure Data Factory flows within the project, demonstrating the ability to swiftly adapt and work on intricate inbound and outbound ADF flows between upstream and down streams.
Managed Airflow, Databricks, and Denodo Scheduler Jobs, ensuring the seamless execution of regularly scheduled jobs.
Proactively resolved any errors encountered.
Underwent training on Azure Data Factory, proficiently managing the integration of inbound/outbound flows from multiple systems to our systems.

Constructed intricate Denodo views, employing advanced techniques to virtualize data seamlessly from source to consumers in alignment with Business Requirements.
Played a pivotal role in optimizing the performance of complex views, a critical contribution to the success of the project and client satisfaction.
Successfully managed Denodo and Database Deployments using Azure pipelines, ensuring efficient and error-free execution.
Demonstrated accountability by taking ownership of updating several system documents and Deployment Installation report documents, contributing to enhanced project documentation and transparency.
In handling Veeva Vault, conducted Data Export and Import operations during Vault refreshes by the platform team. Proficiently utilized Vault Loader and Data Packages for efficient data management.
Actively pursued upskilling in key Data Engineering concepts such as Data Virtualization, Data Fabrics, and Data Integrations, enhancing my expertise in alignment with industry trends.
Committed to continuous learning, I attended formal training sessions on Informatica and Power BI, engaging in hands-on exercises to gain practical knowledge and stay abreast of the latest industry tools and technologies.

With my new responsibility as Data Engineering Analyst, I
Evolved from a Developer to actively participating in Requirement and Functional impact analyses for new requirements/enhancements.
Engaged with end-users, addressing inquiries related to data and mapping during the release of a new system, replacing a legacy system.
Identified and addressed gap in a complex ETL query for a legacy system post the introduction of a new system. Conducted a thorough analysis, found the root cause, and proposed a logical fix.
Completed training on newly implemented Azure Data Factory flows within the project, demonstrating the ability to swiftly adapt and work on intricate inbound and outbound ADF flows between upstream and down streams.
Managed Airflow, Databricks, and Denodo Scheduler Jobs, ensuring the seamless execution of regularly scheduled jobs. Proactively resolved any errors encountered.
Underwent training on Azure Data Factory, proficiently managing the integration of inbound/outbound flows from multiple systems to our systems.

Worked in a Life Sciences Project in Data Fabrics Domain on Tools like Denodo, Equalum, Veeva Vault, MSSQL & Airflow etc.
Constructed intricate Denodo views, employing advanced techniques to virtualize data seamlessly from source to consumers in alignment with Business Requirements.
Played a pivotal role in optimizing the performance of complex views, a critical contribution to the success of the project and client satisfaction.
Successfully managed Denodo and Database Deployments using Azure pipelines, ensuring efficient and error-free execution.
Demonstrated accountability by taking ownership of updating several system documents and Deployment Installation report documents, contributing to enhanced project documentation and transparency.
In handling Veeva Vault, conducted Data Export and Import operations during Vault refreshes by the platform team.
Proficiently utilized Vault Loader and Data Packages for efficient data management.
Actively pursued upskilling in key Data Engineering concepts such as Data Virtualization, Data Fabrics, and Data Integrations, enhancing my expertise in alignment with industry trends.
Committed to continuous learning, I attended formal training sessions on Informatica and Power BI, engaging in hands-on exercises to gain practical knowledge and stay abreast of the latest industry tools and technologies.