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Rajesh - Sr Data Engineer Azure BI

[email protected]

Location: St. Augustine, Florida, USA

Relocation: No

Visa: GC

RAJESH [email protected] 734-786-3356 Performance-oriented, multi-faceted, goal-driven IT professional with a proven cloud digital solution, data engineering, data analytics and DevOps track record. Successfully spearheaded strategic transformation roadmaps that drive process efficiency, unlock new revenue streams, and foster a top-down culture of innovation and change agility across departments. Outstanding leadership, communication, and interpersonal skills combined with a highly technical and data-driven mindset. Background in managing end-to-end enterprise-level projects, mentoring key partners, and proactively implementing process improvements with distinction. Customer Focus Business Strategy & Plan Execution Data Visualization Communication and Project Ownership Cloud Data Migration Team Leadership & Development Teamwork and Collaboration Technical Expertise & Problem Solving Data Engineering DevOps Data Ingestion & Access Controls Building Relationships Microsoft Power Platform Top-Tier Communicator & Visionary Product Management Certifications MICROSOFT CERTIFIED: AZURE DATA ENGINEER ASSOCIATE MICROSOFT CERTIFIED: POWER BI DATA ANALYST ASSOCIATE Professional Experience Sr. Azure BI & Data Engineer April 2023 to Feb 2024 Cass works with businesses across the world streamlining processes and uncovering cost saving opportunities in freight, utilities, telecom, cloud, and waste. Plan, prioritize, and manage data engineering projects, timelines, and resources effectively to deliver high-quality solutions on time and within budget. Design and implement data models and schemas to support business requirements and data analysis. Plan and strategize data flows between on-premises and cloud environments to establish centralized data warehousing. Evaluate and select appropriate Azure services such as Blob Storage, Data Lakes, Azure Functions, etc., based on project requirements and scalability needs. Design and architect data pipelines and solutions for Microsoft Fabric Proof of Concept (PoC). Implemented resource consolidation strategies, leading to cost savings of $50,000 annually in cloud infrastructure expenditures. Develop scripts using PowerShell, Python etc. to automate the provisioning and configuration of resources in Azure environment, ensuring efficient resource management and deployment. Collaborated closely with stakeholders to understand business requirements and translate them into architectural designs that optimized data processing and storage for Artificial Intelligence applications such as Instabase and Kodexa Monitor and troubleshoot data pipelines and azure services to ensure smooth data ingestion, processing, and storage. Supported data governance policies and best practices to ensure data quality, security, and compliance throughout the project lifecycle, contributing to the successful execution of the digital transformation initiative. Conduct knowledge sharing sessions and provide training to enable team members to effectively utilize Azure services and implement best practices in data engineering. Implement monitoring and alerting mechanisms to proactively identify and address issues in data pipelines and Azure services. Ensure thorough documentation of data engineering processes, architectures, and configurations to facilitate knowledge sharing, collaboration, and compliance with regulatory requirements. Senior Consultant, Cloud & Data Services Mar 2013 to April 2023 System Soft Technologies is an information technology company that helps enterprises reimagine their businesses for the digital age. Design and develop data engineering solutions leveraging Azure services such as Azure Data Factory, Azure Databricks, and Azure Event Hubs. Implement robust data pipelines to facilitate extraction, transformation, and loading (ETL) processes from diverse sources into the company's data warehouse. Optimize data processing workflows using Azure Data Factory pipelines for scalability and efficiency. Utilize Azure Databricks for big data processing and advanced analytics, ensuring optimal performance and resource utilization. Implement event-driven architectures using Azure Event Hubs for real-time data ingestion and processing. Collaborate with cross-functional teams to design and implement data models and schemas that align with business requirements and enable effective data analysis. Design and develop data pipelines for extraction, transformation, and loading (ETL) from various sources into the company's data warehouse. Build and maintain data infrastructure including Azure SQL databases, data lakes, and other Azure-based storage solutions. Develop and implement ETL processes to ensure data quality, integrity, and consistency. Design and implement data models and schemas to support business requirements and data analysis. Implement data governance policies and procedures to ensure compliance with regulatory and organizational standards. Monitor and troubleshoot data pipelines and database performance issues. Design and implement API management solutions using Azure API Management. Implement Azure AD environments for clients, partners, and customers to ensure security, scalability, and reliability. Drive analytics roadmaps, develop new tools, and scale analytics capabilities to accommodate organizational growth. Implement DevOps practices using Azure DevOps to accelerate application delivery and improve efficiency. Assist developers in configuring and troubleshooting CI/CD pipelines to facilitate code deployment. Automate and customize software development workflows using git repositories and GitHub Actions. Collaborate with developers and support teams to troubleshoot lower environment and production issues. Work closely with Release Management to create Remedy tickets and gather artifacts required for Release implementation plans and business justifications. Collaborate with Business Systems Analysts (BSAs) to understand client requirements and communicate with stakeholders regarding business justifications for releases. Proficient in creating and using workflows related to multiple tech stacks like Java, Python, and Node.js. Work with QA Automation team to automate existing application health checks. Collaborate with clients to understand business needs and recommend Power Platform solutions that improve efficiency, productivity, and profitability. Contribute to development using Power Platform stack including Power Apps, Power Automate, Power BI, and Power Virtual Agents. Created Visualizations in PowerBI using internal and external data sources such as ServiceNow, US Census, USPS, etc. Created Data Supply chain and developed solutions using Dynamic 365 for Sales, Power app (Canvas/Model-driven app), EventHub, Azure Dev Ops Pipeline, CI/CD, Azure Data Lake, Databricks, Azure Data Factory, Azure SQL DB, SQL Server, Dataverse, Power automation, Power BI, SharePoint, Microsoft Dynamics 365, and Office 365 environment. Managed the PowerApps environment which stores the organization s business data, apps, and flows. Proactively identify opportunities for, and establish scalable, efficient, and automated processes for large-scale data analyses and model development, validation, and implementation. Quality Assurance Manager Sep 2008 to Feb 2013 ESi (Juvare) provided emergency management solutions to county, state, and federal organizations. Lead web application testing for 40+ Web applications following OWASP and SAN critical controls. Define test strategies for projects being developed in Agile and V-model methodologies. Manages to analyze the root cause of issues, impact on technology, and required corrective actions leveraging advanced analytical skills. Capturing and managing all the test results and web app vulnerabilities in the issue tracking system Compiling test metrics for management about web application defects and web application security posture. Reporting to senior managers on progress and issues Test and Data Engineer Jul 2004 to Feb 2008 Test and Data Services offer software testing services through training, consulting, and implementation solutions. Responsible for segments of the Planning, Design, and execution of tests Define risk in the project, find developing plans to solve the risks and problems. Assist in the Design, Analysis, and Implementation of testing solutions in a distributed systems environment. Participate in client stakeholders meetings to ensure that engagement work products and deliverables are of the highest quality. Involved in System and UAT Testing and Scripting using Perl and Shell Technical Skills OPERATING SYSTEMS UNIX, Linux, Windows, MAC OS X CLOUD AWS, Google, Azure LANGUAGES C, java, JSP, Python, JavaScript (NodeJS, React, Angular), Web services, SQL, PL/SQL, VB Script DATABASE Oracle, MySQL, SQL Server, DB2, PostgreSQL, MongoDB, Dataverse DEVOPS TOOLS : Chef, GitHub Enterprise Server, Azure DevOps, Gitlab, Jenkins, Kubernetes, Zabbix, Docker TOOLS & UTILITIES Power Apps, Power Automate, Power BI, SharePoint, Azure Logic Apps, Azure Functions, MS Teams, Informatica, Excel, Dynamics 365, Jupyter, Spark, Presto, Azure Event Grid, Spark, Databricks, Kafka, Ab Initio, GitHub, GitLab, Jenkins, Terraform, Step Function, S3, Event Scheduler, SNS, CodeCommit, CodePipeline ARTIFICIAL INTELLIGENCE TOOLS: Kodexa, Gemini (Bard), Instabase, Instabase, SOFTWARE METHODOLOGIES Waterfall, V, Agile (Scrum & Kanban) PROTOCOLS TCP/IP, FTP, SFTP, HTTP, SOAP Education NAGARJUNA UNIVERSITY Master s degree in Applied Science and Computer Technology Keywords: cprogramm continuous integration continuous deployment quality analyst javascript business intelligence sthree database active directory information technology microsoft procedural language