Pavan Kumar

Collected and analyzed HR & Finance data from diverse sources including HRIS and employee surveys, ensuring comprehensive data input for departmental needs.

Cleaned, transformed, and validated HR data, maintaining high standards of accuracy and consistency for reliable reporting.

Applied statistical data analysis techniques using PowerBI, Tableau, SQL, and SPSS to identify critical trends, patterns, and KPIs, generating actionable insights.

Provided crucial data support for regulatory reporting, audits, and compliance, ensuring adherence to institutional standards.

Architected and implemented end-to-end data analytics solutions across diverse domains, designing robust data models and performing complex transformations using Alteryx, SSIS, Tableau Prep, and AWS Glue.

Developed and managed scalable data pipelines on Azure using Databricks, Spark (RDDs), and complex ETL processes, ensuring efficient data transformation and integration with Snowflake.

Led hands-on development of data pipelines utilizing AWS Step Functions, Glue, Python/Pyspark, and DBT (Redshift) to process large datasets, optimizing performance and cost-efficiency.

Enhanced data accessibility and business insights by organizing and managing structured/unstructured data with warehousing technologies and improving data quality and efficiency.

Presented data insights through visually impactful dashboards (Tableau, PowerBI, AWS QuickSight, Tableau CRM) to project leads and stakeholders, influencing critical decision-making processes.

Designed and implemented robust data solutions, collaborating with data analysts and scientists to align infrastructure with analytical goals and business requirements.

Developed and maintained efficient data ingestion and transformation pipelines using Snowflake's native features (Snowpipe, Tasks), ensuring seamless data flow.

Managed end-to-end data movement and migration processes, transforming diverse raw data into usable formats for data lakes and warehouses (e.g., SQL Server to AWS Redshift).

Ensured high data quality and consistency across all data processes through comprehensive cleaning, transformation, and validation.

Designed and implemented end-to-end data engineering solutions using Microsoft Power Platform and Tableau visualizations, enhancing data accessibility and reporting capabilities.

Acted as a Project Coordinator, effectively bridging communication between analysts and a diverse range of stakeholders from various domains.

Managed multiple stakeholder relationships, ensuring requirements were met and project objectives were aligned across different departments.

Designed and implemented automation solutions for Management Information Systems (MIS) reports using Excel VBA and Macro Express.

Achieved a considerable reduction in manual efforts through process automation, significantly improving reporting efficiency and accuracy.