Ashok kumar aithagani

Dynamic and results-oriented Technical Project Manager with 18 years of professional experience specializing in cloud computing, data engineering, and technical leadership. Proficient in designing and implementing scalable solutions using cutting-edge technologies such as Microsoft Azure, Cloud Architecture, Databricks, and Python.
Skilled at bridging technical and business needs to drive projects from conception to completion, ensuring delivery within scope, time, and budget constraints. Adept at collaborating with cross-functional teams, mentoring professionals, and optimizing workflows to meet evolving industry demands.

Highly accomplished Senior Cloud Architect with 18+ years of experience in designing, implementing, and optimizing enterprise cloud solutions. Expertise in Microsoft Azure, Power BI, Azure Databricks, and Azure DevOps. Adept at leading cross-functional teams in Agile environments to deliver scalable, secure, and cost-effective solutions. Extensive experience across industries like Healthcare, Financial Services, Energy, Banking, and Insurance, driving digital transformation through innovative cloud strategies.

1. Solution Design and Implementation
o Develop and implement tailored technical solutions to meet business and operational requirements.
o Evaluate and recommend tools, technologies, and platforms to optimize processes and system performance.
o Design and configure systems to align with industry best practices and organizational goals.
2. Technical Support and Troubleshooting
o Provide advanced troubleshooting for complex technical issues, ensuring minimal disruption to operations.
o Act as an escalation point for unresolved problems, delivering timely and effective resolutions.
o Proactively monitor systems to identify and mitigate potential risks.
3. Collaboration and Stakeholder Engagement
o Collaborate with cross-functional teams, including developers, architects, and business analysts, to drive project success.
o Translate technical concepts into business language for non-technical stakeholders.
o Provide training and knowledge-sharing sessions to upskill teams.
4. System Optimization and Upgrades
o Perform regular system audits to enhance performance, scalability, and reliability.
o Manage and oversee system updates, patches, and migrations.
o Ensure solutions are aligned with evolving industry standards and compliance requirements.
5. Documentation and Reporting
o Create and maintain detailed technical documentation, including design specifications, workflows, and troubleshooting guides.
o Generate reports on system performance, project status, and technical risks for management review.
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1. Solution Design and Implementation
o Develop and implement tailored technical solutions to meet business and operational requirements.
o Evaluate and recommend tools, technologies, and platforms to optimize processes and system performance.
o Design and configure systems to align with industry best practices and organizational goals.
2. Technical Support and Troubleshooting
o Provide advanced troubleshooting for complex technical issues, ensuring minimal disruption to operations.
o Act as an escalation point for unresolved problems, delivering timely and effective resolutions.
o Proactively monitor systems to identify and mitigate potential risks.
3. Collaboration and Stakeholder Engagement
o Collaborate with cross-functional teams, including developers, architects, and business analysts, to drive project success.
o Translate technical concepts into business language for non-technical stakeholders.
o Provide training and knowledge-sharing sessions to upskill teams.
4. System Optimization and Upgrades
o Perform regular system audits to enhance performance, scalability, and reliability.
o Manage and oversee system updates, patches, and migrations.
o Ensure solutions are aligned with evolving industry standards and compliance requirements.
5. Documentation and Reporting
o Create and maintain detailed technical documentation, including design specifications, workflows, and troubleshooting guides.
o Generate reports on system performance, project status, and technical risks for management review.

1. Data Pipeline Development
o Design, build, and manage scalable data pipelines to collect, process, and store data from various sources.
o Implement ETL (Extract, Transform, Load) processes to ensure data is clean, structured, and ready for analysis.
2. Data Storage and Management
o Develop and maintain data architecture, including data warehouses, lakes, and databases.
o Optimize data storage solutions for performance, scalability, and cost-effectiveness.
o Ensure data is organized, indexed, and easily accessible.
3. Data Integration
o Integrate data from diverse sources, such as APIs, databases, and streaming platforms.
o Work with structured, semi-structured, and unstructured data formats.
o Ensure real-time or near-real-time data availability as required by the business.
4. Data Quality and Governance
o Monitor and ensure data integrity, accuracy, and consistency across all pipelines and systems.
o Implement data validation checks, error handling, and logging mechanisms.
o Collaborate with teams to enforce data governance and compliance with privacy regulations (e.g., GDPR, HIPAA).
5. Collaboration and Stakeholder Engagement
o Work closely with data scientists, analysts, and business teams to understand their data requirements.
o Provide technical support for advanced analytics and machine learning models.
o Communicate technical concepts effectively to non-technical stakeholders.
6. Performance Optimization and Troubleshooting
o Optimize query performance and ensure efficient use of resources.
o Troubleshoot and resolve issues in data pipelines, databases, and storage systems.
o Continuously monitor and enhance the performance of data workflows.
7. Tool and Technology Evaluation
o Research and implement modern tools, frameworks, and cloud platforms (e.g., Azure, AWS, Google Cloud).
o Stay updated on emerging technologies to enhance data engineering capabilities.

1. Data Pipeline Development
o Design, build, and manage scalable data pipelines to collect, process, and store data from various sources.
o Implement ETL (Extract, Transform, Load) processes to ensure data is clean, structured, and ready for analysis.
2. Data Storage and Management
o Develop and maintain data architecture, including data warehouses, lakes, and databases.
o Optimize data storage solutions for performance, scalability, and cost-effectiveness.
o Ensure data is organized, indexed, and easily accessible.
3. Data Integration
o Integrate data from diverse sources, such as APIs, databases, and streaming platforms.
o Work with structured, semi-structured, and unstructured data formats.
o Ensure real-time or near-real-time data availability as required by the business.
4. Data Quality and Governance
o Monitor and ensure data integrity, accuracy, and consistency across all pipelines and systems.
o Implement data validation checks, error handling, and logging mechanisms.
o Collaborate with teams to enforce data governance and compliance with privacy regulations (e.g., GDPR, HIPAA).
5. Collaboration and Stakeholder Engagement
o Work closely with data scientists, analysts, and business teams to understand their data requirements.
o Provide technical support for advanced analytics and machine learning models.
o Communicate technical concepts effectively to non-technical stakeholders.
6. Performance Optimization and Troubleshooting
o Optimize query performance and ensure efficient use of resources.
o Troubleshoot and resolve issues in data pipelines, databases, and storage systems.
o Continuously monitor and enhance the performance of data workflows.
7. Tool and Technology Evaluation
o Research and implement modern tools, frameworks, and cloud platforms (e.g., Azure, AWS, Google Cloud).
o Stay updated on emerging technologies to enhance data engineering capabilities.

o Designed and implemented a CRM solution to track customer engagement and create personalized offers based on purchase history. Integrated Dynamics 365 with loyalty points systems to offer customized discounts and rewards.
o Unified customer interactions across multiple channels (online, mobile, in-store) to provide a consistent experience using Dynamics 365 Sales and Service.
o Integrated Dynamics 365 Marketing to enable personalized marketing campaigns across online and physical retail touchpoints.
• Key Achievements
o Reduced client response time by 30% through process optimization and integration in the Omni channel Engagement system.
o Successfully completed 4+ Dynamics 365 CRM implementation projects across multiple domains.
o Streamlined the customer service workflow, reducing response times by 30% and improving customer satisfaction scores.
• Technologies:
o Microsoft Dynamics 365 (Sales, Customer Service, Marketing), C#, JavaScript, PowerShell, SQL Server, Agile, SharePoint