Technology professional with 15+ years of experience managing IT infrastructure, public cloud Architecture and Strategy team to establish company's technology vision, strategy and growth. Highly accomplished, analytical and enthusiastic Information Technology Professional with a proven track record of delivering consistent and outstanding results in analyzing software requirement specifications/development and execution of test plans.
Overview
10
10
years of professional experience
Work History
GCP Architect
Codit/GDIT
01.2018 - 09.2023
Developed sophisticated infrastructure deployment scripts using Google Cloud Deployment Manager and Terraform, codifying infrastructure as code for repeatable and consistent provisioning
Engineered end-to-end CI/CD workflows with Google Cloud Build, integrating source code repositories, automated unit tests, and Docker image creation
Managed highly available Kubernetes clusters on Google Kubernetes Engine (GKE), utilizing Kubernetes Operators and Helm charts for streamlined application management
Configured advanced logging and monitoring using Stackdriver Logging and Stackdriver Monitoring, visualizing performance metrics through custom dashboards
Defined granular Google Cloud IAM roles and permissions to enforce the principle of least privilege, enhancing security posture and managing access control
Implemented Google Cloud security controls, including VPC firewall rules and network segmentation, to enforce network security and isolate workloads
Leveraged Google Cloud SQL and NoSQL databases like Firestore and Bigtable to design scalable and performant data storage solutions
Utilized Google Cloud Cost Management tools, such as Cost Explorer and Budgets, to analyze historical usage trends and forecast future expenses.
GCP Architect
Virtusa/Dun & Bradstreet
10.2022 - 03.2023
Led a data modernization project for a large enterprise, using Big Query, GCP, and Python
Used Big Query to store and analyze large datasets, including historical data, real-time data, and sensor data
Used other GCP services, such as Cloud Storage, Cloud Compute, and Cloud SQL, to build a scalable and reliable data infrastructure
Used Python to automate tasks, develop data pipelines, and build machine learning models
Designed and implemented a new data warehouse on Big Query, which replaced the company's old on-premises data warehouse
Migrated historical data from the old data warehouse to Big Query, using Cloud Dataflow
Developed real-time data pipelines to ingest data from the company's sensors and other sources into Big Query
Built machine learning models to analyze the data in Big Query and generate insights
Ensured the security and compliance of the data warehouse, using GCP security features such as IAM roles and permissions, Cloud Key Management Service, and Cloud Audit Logging
Worked with other IT teams to ensure that the data warehouse was integrated with the company's existing IT systems
Stayed up to date on the latest cloud technologies and trends, by attending conferences, reading industry publications, and following cloud computing blogs
Provided technical guidance to the company's employees on cloud computing concepts, best practices, and pricing models
Led cloud adoption initiatives within the company, such as developing cloud training programs and creating a cloud champions program
Plan and execute VM migrations to Google Cloud Platform using StratoZone
Assess on-premises servers using StratoZone to identify potential problems and make sure that they are ready for migration
Create migration plans using StratoZone to ensure that the migration is smooth and efficient
Monitor the migration process using StratoZone to identify any problems and take corrective action as needed
Verify the migration after it is complete to make sure that the VMs are running properly in Google Cloud.
GCP Architect
SAICS
06.2021 - 10.2022
Designed and implemented scalable and reliable cloud architectures using Google Cloud Platform (GCP) services to meet clients' business and technical requirements
Conducted architecture assessments and provided recommendations for optimizing existing infrastructure and applications on GCP
Collaborated with cross-functional teams to define cloud strategies, identify technical solutions, and ensure alignment with business objectives
Led the planning and execution of cloud migration projects, including workload assessments, data migration, and application refactoring
Implemented security best practices and worked closely with the security team to ensure compliance with industry standards and regulations
Provided guidance and mentorship to engineers and developers in leveraging GCP services, architecture best practices, and cloud-native technologies
Developed cost optimization strategies by analyzing resource utilization, rightsizing instances, and implementing automation to optimize spend on GCP
Conducted performance tuning and optimization of applications, databases, and infrastructure on GCP to achieve optimal efficiency and scalability
Implemented monitoring and alerting systems using GCP tools to proactively identify and resolve issues, ensuring high availability and performance
Created and maintained technical documentation, architecture diagrams, and runbooks for GCP deployments and solutions
Stayed up-to-date with GCP services, features, and industry trends, and participated in professional development activities, including certifications and training
Designed and developed conversational flows using Dialog flow, a leading conversational AI platform
Implemented backend logic and integrated Dialog flow API to handle user inputs, manage intents, and design dynamic responses
Conducted extensive testing and debugging to ensure the chatbot's functionality and accuracy
Contributed to the integration of the chatbot into web and mobile applications, providing seamless conversational experiences for end-users
Collaborated with cross-functional teams to gather requirements, define dialog paths, and create an intuitive user experience
Designed and implemented data and machine learning solutions using Vertex AI and Data Fusion on the Google Cloud Platform (GCP)
Developed and maintained data pipelines using Data Fusion, ensuring efficient data ingestion, transformation, and processing from various sources
Deployed machine learning models on Vertex AI and established monitoring mechanisms to track model performance and drift
Worked closely with data scientists and ML engineers to develop and deploy machine learning models on Vertex AI, including data pre-processing, feature engineering, model training, and evaluation.
Technical Architect
Equifax
10.2019 - 03.2021
Conduct Cloud migration and architecture design workshop with customers to understand current state and build cloud migration strategy
Lead SRE to design and onboard legacy applications to GCP
Design and implemented GKE Clusters with Istio
Worked with DevOps, architects and application team to build fully automated GCP resources creation and application deployment by leveraging Jenkins/Helm/Terraform
Conduct POC and initial assessment of GCP product to create design pattern per customer requirements for enterprise wide adoption
Partner with infrastructure, security, operation to scope, define, and execute application migration to GCP
Provide thought leadership and strategic vision to Senior and Program management and technical team on GCP, Cloud Native solution, Monitoring, Logging, DevSecOps, Security, Microservice and Cloud Design pattern
Design and Implement IaC pipeline and modules using Terraform/Jenkins to manage Cloud resources
Design and implemented a secure Deployment CI/CD Pipeline by leveraging Pod security policy, binary authorization, and distroless Images
Application must pass through container analysis and binary authorization before they can successfully run in the current environment
Developed automated pipelined for cloud composer deployment
Customized dataflow templates for ETL processing
Worked closely with data scientists and ML engineers to design, develop, and deploy machine learning models using Vertex AI, including pre-processing, feature engineering, model training, hyperparameter tuning, and evaluation
Implemented and maintained data pipelines using Data Fusion, configuring ingestion, transformation, and processing components for diverse data sources
Designed, implemented, and managed data and machine learning solutions on the Google Cloud Platform (GCP) with a specific focus on Vertex AI and Data Fusion.
Full stack developer/ SRE
SYNTEL
01.2018 - 10.2019
Serve as Site Reliability Engineer Google cloud platform
Develop and maintain spring boot microservices to meet business requirements
Develop and maintain node.js microservices to meet business requirements
Lead in the deployment of applications to production
Support production environment
Create custom applications to help with our development process
Utilized design patterns like Factory, Abstract Factory, Singleton
Develop UI using React.js
Implemented and designed IaC using terraform
Develop API's using spring boot and node.js
Debugging node.js and spring boot applications
Develop and debug features on our react-native android application
Implement UI Modifications to our react-native application
Web Developer
UPchieve
12.2016 - 01.2018
Develop and maintain node.js microservices to meet business requirements
Utilized Visual Studio Code tool for development, build, deployment and testing
Executed the creation of a feedback form that automatically save to database and sends a thank you email
Masterminded the successful development and maintenance of the client-side application using Vue.js and JavaScript
Used Mongoose ORM framework to map, code, and fine tune the Mongo Queries
Integral part of the dev team that met many deliverables and help push application to new levels
Coordinated the implementation of Agile Process in the form Asana
Java Developer
Concept Software & Services
02.2014 - 06.2016
Play a key role in Requirements gathering, Analysis, Design and Development phases of the project with major emphasis on Development of the modules
Managed the implementation of Agile Process in the form daily stand-up meetings
Took an integral role in setting up Ajax request to Google Maps API
Utilized several design patterns like Factory, Abstract Factory, MVC and Facade during the design phase of the application
Worked with Oracle for querying data from the database
Coordinated the successful development and maintenance of the client-side application using JSP, Java, HTML, CSS, and JavaScript
Oversaw data validation on the Client side with the use of JavaScript
Took charge of the development of User interface for the application using Spring MVC
Used custom tags libraries for the structured display of the screen
Developed the user interface with the use of JSP, Servlets and JavaScript for the web tier
Education
Associate of Science -
Atlanta Technical College
Atlanta, GA
05.2013
Skills
Version control: GitHub, GitLab
Agile Development Tools: Jira, Pivotal Tracker, Asana
Cloud infrastructure: GCP, AWS
CI/CD: Jenkins, YAML
Mobile Development: Expo, Android Studios, XCode, React-native, Aws-mobile, google-firebase