Currently assigned to a project for the client MB.io.Developing Python Code: Write and maintain Python code using object-oriented programming principles to ensure high-quality and maintainable codebases.Suggesting Improvements: Proactively identify areas for improvement within existing systems and processes, proposing innovative solutions to enhance efficiency and performance.Utilizing Databricks: Execute Python code within the Databricks environment to streamline data processing and analytics workflows.Creating Workflows on Azure Data Factory: Design and implement data workflows using Azure Data Factory, ensuring seamless data integration and transformation across various sources.

I have significantly contributed to the design and management of Azure services, team leadership, cost planning, and data governance. Key responsibilities include:Azure Services: Designed, created, and managed Azure services to enhance business operations.Team Leadership: Communicated complex technical concepts to junior team members, ensuring task understanding and execution. Trained and managed a DBA, providing constructive feedback.Quality Monitoring: Monitored DBA work quality, ensuring accurate and efficient task completion.Cost Planning: Planned infrastructure costs on Azure and on-premises, optimizing spending based on data growth and new projects.Performance Tuning & Data Modeling: Conducted performance tuning, data modeling, and capacity planning for SQL Server 2012-2022.Development Collaboration: Worked with developer teams on data modeling, design, and integration to meet business needs.Data Governance: Defined data governance and management policies with all teams, ensuring data quality and integrity.Databricks Development: Developed workflows in Databricks using SQL, Spark, and other technologies to automate data processing and create scalable pipelines.ProdOps & DevOps: Managed production and development operations in collaboration with global teams.Project Management Tools: Utilized Jira and Confluence to track project progress and facilitate communication.Data Model Design: Designed data models to meet business needs and ensure data quality.

I have played a pivotal role in managing and optimizing data services and operations. My key responsibilities include:Azure Services Management: Designed, created, and managed Azure services, ensuring seamless integration and performance.Cost Monitoring: Monitored and controlled Azure costs to adhere to the initial budget and reduce expenses.SQL Server Expertise: Conducted performance tuning, data modeling, and capacity planning for SQL Server versions 2012 to 2022.Collaboration with Developer Teams: Worked closely with developer teams to define data modeling, design, and integration strategies.Data Governance and Management: Collaborated with all teams to establish robust data governance and management practices.Databricks Workflow Development: Developed workflows in Databricks using SQL, Spark, and other technologies to automate data processing tasks and create scalable data pipelines.ProdOps and DevOps Management: Managed production and development operations (ProdOps and DevOps) in collaboration with global teams.Project Tracking and Communication: Utilized Jira and Confluence to track project progress and facilitate effective communication with stakeholders.Data Model Design: Designed data models tailored to business needs, ensuring data quality and integrity.

• Designed and developed BI packages using SSIS for report delivery in different formats such as Flat File, Excel, and SSAS. • Performed the role of a Data Engineer responsible for the smooth operation of 60+ servers and 300 databases, with a total of 300TB of information. • Implemented backup and restore process• Installation, Configuration, Performance Tunning, Data Modeling and Capacity Planning for SQL Server 2012 to SQL Server 2016 • Ensured server maintenance was performed on a regular basis to minimize downtime and ensure smooth operations. • Collaborated with teams to ensure data consistency and provided technical support to internal and external customers.