Purushotham Akula

Professional Summary:

Senior Data Engineer leading the migration of legacy data ecosystems to Google Cloud Platform (GCP) using a standardized Enterprise Approach. Expert in bridging the gap between application development and production operations, focusing on automated CI/CD workflows, data lineage security, and high-availability pipeline management.

• Core Technical Contributions and Key Achievements:

1. CI/CD and Automated Deployments.

2. Engineered and maintained Jenkins pipelines to automate the deployment of jobs and DAGs, ensuring consistent and error-free code promotion across environments.
3. Utilized Git for sophisticated version control, managing code repositories, and strategies to support collaborative development and production stability.
4. Modernized the product release toolchain by integrating automated testing and security gates within the deployment lifecycle.
Production Consistency & Operational Effectiveness

1. Reduced production failures by 45% across approximately 10,000 monthly alerts by optimizing alerting tools and implementing proactive monitoring policies.
2. Managed the seamless handover (KT) of complex data projects from application development teams to operations, ensuring long-term maintainability.
3. Shifted operations from reactive troubleshooting to predictive maintenance by analyzing historical alert data to engineer proactive system policies.

• Data Product Architecture and Governance.

1. Created 10 distinct data products across 4 different product areas, providing developers with structured frameworks for organizing data according to standardized table schemas.
2. Architected a data lineage modernization project, migrating sensitive lineage information from unsecured Google Sheets to BigQuery to enhance enterprise data governance.
3. Automated approval workflows for DAG onboarding using Python and AI Co-pilot, integrating cross-tool data to validate and authorize releases.
Innovation and Strategic Reporting.

1. Modernized internal tools through data-driven research, significantly improving developer velocity and platform scalability.
2. Contributed to the enhancement of core frameworks, standardizing data processing libraries used by hundreds of engineers company-wide.
3. Delivered bi-weekly and monthly executive summaries to senior management, highlighting release trends and platform ROI.

Technical Skills Matrix

Category Tools & Technologies

Cloud Platforms : Google Cloud Platform (GCP), BigQuery, Cloud Storage

DevOps & CI/CD : Jenkins (Pipelines), Git (Version Control), GitHub, CI/CD Automation

Orchestration : Airflow (DAGs), Python, AI-Assisted Development : (GitHub Copilot)

Governance & Security : Data Lineage, BQ Security Policies, Enterprise IAM

Operations : Production Release Portal, Alerting Tools (Opsgenie), Jira, Agile

Data Viz & Reporting : Management Dashboards, G-Suite Analytics, Insight Mapping

Professional Profile:

Key contributor to Verizon’s enterprise-wide infrastructure modernization, migrating legacy on-premise systems to a cloud-native Google Cloud Platform (GCP) environment. Focused on scalable onboarding, security architecture, and operational cost-efficiency.

Core Responsibilities & Achievements:

1. Cloud Governance & Enterprise Onboarding

2. Architected and implemented granular IAM (Identity and Access Management) solutions, conducting deep research to create custom roles that enforced the principle of least privilege across the organization.

3. Reliability Engineering & Incident Response

4. Optimized enterprise alerting by integrating Opsgenie, resulting in a measurable reduction in system failure noise and faster incident resolution times.

5. Performed deep-dive analysis of historical alert data to engineer proactive policies, shifting the operations team from reactive troubleshooting to predictive system maintenance.

FinOps & Operational Intelligence

2. Delivered data-driven insights and presentations to executive leadership regarding Financial Operations (FinOps), identifying cost-saving opportunities in cloud resource utilization.

3. Workflow Orchestration & Serverless Deployment

4. Managed complex data pipelines using Cloud Composer (Managed Airflow) and handled big data processing workloads via Dataproc.

5. Leveraged Cloud Functions and Cloud Run to deploy scalable, event-driven microservices, reducing infrastructure overhead and improving deployment velocity.

6. Utilized Jira for agile project management, ensuring clear documentation and tracking of infrastructure-as-code (IaC) tasks and platform updates.

Technical Skills Matrix

Category Technologies & Tools

2. Data & Analytics : BigQuery, Dataproc, Financial Operations (FinOps) Data Modeling

3. Orchestration & Compute : Cloud Composer (Airflow), Cloud Run, Cloud Functions

4. Security & Identity : IAM Role Engineering, Cloud Security Policy Creation

5. Operations & Incident : Opsgenie, Alerting Policy Design, Failure Analysis

6. Collaboration : Jira Board, Agile Methodology, Stakeholder Presentation

• Requirements Gathering, involve in active interaction with the client’s business team, system architects to gather the requirements with respect to new business and change in business.
  • Requirement Analysis involve in analysing the requirements with respect to the systems and to automate or improve existing systems in project.
  • Design Propose architectural suggestions for the new applications for development team and document it. Design an effective and robust architecture, which eventually creates an increase in the business turnaround for the client.
  • Handle change requests for the systems in project. This involves estimation, analysis, design, implementation, testing and closure of the change requests. Prepare technical specifications and get it approved from the client.
• Identifying and fixing bugs,troubleshoot issues, and perform quality assurance.
• Written and implemented code for new applications or features