I develop and manage the Snowflake Enterprise Data Warehouse, centralizing data management for business intelligence. Key achievements include:Built robust data pipelines using dbt, Python, SNOWSQL, and AWS Step Functions.Automated workflows and notifications, enhancing data operations efficiency.Utilized Qlik for data replication and established secure data sharing within Snowflake.Ensured data security and compliance with Snowflake's advanced features.Created comprehensive process documentation and collaborated with cross-functional teams to deliver data solutions aligned with business needs.My work drives business growth and operational efficiency through actionable insights and robust data solutions.

Maintained end-to-end data workflows and pipelines. Key achievements include:Data Pipeline Development: Built and optimized Spark-based pipelines in Databricks, improving data processing speed by 30%.ETL Management: Managed ETL tasks within Databricks, performing data extraction, transformation, and loading operations, reducing ETL runtime by 25%.Automation: Developed and scheduled jobs using Databricks Scheduler to automate data workflows, reducing manual intervention.Real-time Data Processing: Implemented stream data processing workflows using Azure Event Hub, reducing latency and improving real-time data processing capabilities.Data Storage: Utilized Delta Lake for high-performance data storage and Azure Data Share for secure data sharing, enhancing data retrieval times and customer satisfaction.Business Intelligence: Developed comprehensive Power BI reports and dashboards, providing actionable insights and improving decision-making speed.Stakeholder Management: Collaborated with cross-functional teams and communicated with customers to deliver tailored data solutions, resulting in increased customer satisfaction.

Designed and developed ETL processes using Informatica PowerCenter. Key achievements include:ETL Development: Implemented complex data transformations, aggregations, and data cleansing to ensure high-quality data for reporting and analytics.Performance Tuning: Conducted performance tuning of ETL processes to optimize data load times and improve overall system performance.Data Integration: Developed near real-time data integration solutions using Informatica, supporting real-time decision-making and analytics.Data Quality: Implemented data quality checks and validation rules to ensure data accuracy and integrity.Collaboration: Coordinated with business analysts and stakeholders to gather requirements and design ETL solutions that meet business needs.Testing: Performed unit testing, system testing, and user acceptance testing (UAT) of ETL processes.

Designed and created Data Marts in data warehouse database Worked with EMR, S3 and EC2 services in AWS cloud. • Migrating servers, databases, and applications from on premise to AWS. • Designed and implemented data acquisition, ingestion, Management of Hadoop infrastructure and other Analytics tools (Splunk, Tableau). • Working knowledge of build automation and CI/CD pipelines.

Executed SQL queries for data extraction and analysis. Key achievements include:Data Analysis: Wrote and executed SQL queries to extract, filter, and analyze data from databases, providing relevant information for reporting and analysis.Ad Hoc Analysis: Conducted ad hoc analysis as requested by team members and managers.Collaboration: Worked with various departments to understand business technology needs and flow of work, ensuring effective data usage and reporting.