Ram Kolla Email & Phone Number

Piscataway Township, Nj, Us

• Configured Azure DevOps Pipelines for automated deployments and CI/CD frameworks using Azure Pipelines and Git.• Designed and deployed high-availability applications using Azure Cloud; migrated data from TFVC to Git.• Automated builds, deployments, and unit tests across environments using VSTS Build, PowerShell, MS Build, and MS Deploy.• Utilized Groovy for automation scripts, pipeline scripts, unit tests, and infrastructure tasks.• Automated Databricks cluster management, notebook deployment, and monitored performance using Azure Monitor and Databricks logging.• Managed containerized applications using Docker, Kubernetes, and Azure Kubernetes Service (AKS).• Developed data integration solutions and optimized data performance using Azure Data Factory, Azure Databricks, and other Azure data services.

• Created views, ETL pipelines, and data models for reporting and analytics purposes.• Frameworks for standardized data modeling and design that enable effective analysis, planning, construction, testing, and upkeep.• Azure Data Factory, Azure Databricks, Azure Logic Apps, and Azure Functions were used in the design and implementation of data integration solutions.• Effective query execution and data processing are ensured by performance-tuned and optimized data solutions.• encrypted data, access limits, and data masking were all put into practice.• Adhered to data governance standards and practices.• Worked with stakeholders to translate business requirements into technical specifications.• Guided data availability and accessibility.• knowing Azure Cosmos DB, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Blob Storage.• Familiar with data visualization and reporting tools like Power BI and Azure Analysis Services.• Azure Data Engineer Associate and Azure Solutions Architect are two examples of relevant Microsoft Azure certificates.• Stayed current with trends in Azure data services, data engineering, and data architecture.

Hyderabad, Telangana, India

Developed curated data models, ETL pipelines, and views for analytics and reporting.• Gathered requirements, conducted business analysis, and implemented business rules.• Created ETL pipelines in Azure, processing customer data from APIs into Azure SQLDB.• Orchestrated data pipelines with Azure Data Factory and built custom alerts with Log Analytics.• Created Databricks job workflows with PySpark and Python, using Azure Key Vault for secret management.• Established Teradata ELT frameworks for data ingestion from various sources.• Designed SFTP download/upload frameworks using Azure Data Factory and Databricks.• Worked on performance tuning, logical modeling, and data transformation.• Developed ETL jobs with BTEQ, FastLoad, and MultiLoad, and designed UNIX scripts.• Created Informatica mappings and managed big data loads to Teradata RDBMS.• Built Tableau heat map charts and dashboard reports for reporting requirements.

Hyderabad, Telangana, India

• Successfully transitioned from a Linux/DevOps Engineer role to a Data Engineer role, showcasing expertise in data engineering and cloud-based solutions.• Developed and maintained curated data models, ETL pipelines, and views to support business needs for analytics and reporting.• Proficiently managed and secured cloud-based data systems, ensuring their stability and optimal functionality for smooth operations.• Skillfully set up and managed CI/CD pipelines using Jenkins and GitLab, automating data integration and deployment processes.• Managed version control using Git and SVN, facilitating efficient data management and collaboration across development teams.• Developed Shell and Python scripts for task automation, streamlining data pipeline and infrastructure management processes.• Applied data engineering principles to enhance collaboration and synergy between data analysts, data scientists, and operations teams.• Contributed to process improvements, optimizing data workflows for increased efficiency and productivity.• Played an integral role in designing, implementing, and optimizing various aspects of Azure-based data infrastructure, leveraging services such as Azure Data Factory, Azure Databricks, and Azure SQL.• Assisted in the migration of data delivery platforms from on-premises to cloud-based environments, ensuring smooth transitions and minimal disruptions.• Standardized data modeling and design frameworks for efficient analysis, design, building, testing, and maintenance.• Implemented data security and compliance measures, including data encryption, access controls, and data masking.• Familiarity with data visualization and reporting tools such as Power BI and Azure Analysis Services.• Possessed relevant Microsoft Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect.

Hyderabad, Telangana, India

• worked on requirements gathering, analysis, design, development, testing, production, and post-production support, among other stages of the Software Development Life Cycle (SDLC).• Input feed for front-end applications is provided via developed stored procedures and user-defined functions.• Created complex Stored Procedures, Triggers, Functions, Indexes, Tables, Views, and joins.• Using SSIS, a significant volume of data was pulled up from numerous data sources for the Extraction, Transformation, and Loading (ETL) process.• created a Tableau 360 business dashboard for the Salesforce team, complete with numerous panels and settings.• Utilizing SQL scripts and Excel macro tools, as well as BusinessObjects Data Services/BODI, map sources to destinations.• ETL process development and design. Provide peer review, automate platform health checks, and set code standards.• Develop mapping/sessions/workflows.• Using temporary tables, common table expressions (CTEs), and stored procedures, complicated SQL queries were created to provide SSRS reporting.• engaged in the active development of complex SSRS reports that include charts, graphs, matrix/tabular reports, and subreports.• worked on maintaining several fact tables and dimensions in the data warehouse design.• Installed/configured SQL Server in Virtual Environments using VMWare.• Through optimization and documentation, the duration of each migration initiative was shortened by several months.