Summary
Overview
Work History
Education
Skills
Timeline
Core Competencies
Project Highlights
Core Competencies
SoftwareEngineer
Pavithra Gangala

Pavithra Gangala

Summary

Experienced Cloud Engineer with a Google Cloud Platform (GCP) background, specializing in architecting, deploying, and optimizing cloud solutions for complex business environments. Expertise in leveraging GCP services, including Compute Engine, BigQuery, Kubernetes Engine (GKE), and Cloud Functions, to design scalable and secure cloud infrastructures. Proven success in automating cloud operations using Terraform, improving efficiency and reducing operational costs through infrastructure as code (IaC) and continuous integration/continuous deployment (CI/CD) best practices. Adept at leading cloud migration projects, optimizing data pipelines, and implementing security protocols in multi-cloud environments. Demonstrates strong collaboration with cross-functional teams to align technical solutions with strategic business objectives.

Overview

3
3
years of professional experience

Work History

Cloud Engineer

Colaberry
11.2023 - Current
  • Enhanced cloud infrastructure efficiency by implementing advanced automation techniques and tools.
  • Spearheaded the design and deployment of cloud infrastructure on Google Cloud Platform (GCP) to support data-intensive applications, ensuring high performance, scalability, and fault tolerance
  • Evaluation/POC of migration tools like Striim, Airbyte, and Meltano to migrate data from on-prem to GCP
  • Automated infrastructure provisioning and scaling using Terraform and Google Cloud Deployment Manager, enabling efficient resource management and reducing manual overhead by 50%
  • Developed end-to-end data pipelines using Google Dataflow and Dataproc, processing and analyzing large-scale datasets in real-time to deliver actionable insights for business stakeholders
  • Managed containerized applications on Google Kubernetes Engine (GKE), ensuring seamless orchestration, scalability, and zero-downtime deployments for critical services
  • Implemented Stackdriver for comprehensive monitoring, logging, and alerting, leading to a 40% improvement in system visibility and proactive incident response
  • Migrated Hadoop/Hive-based data pipelines from on-premises Mapr Hadoop clusters to Google GCP Dataproc clusters
  • Benchmarking Spark vs Dataflow and re-platforming pipelines in GCP
  • Improved query performance and data retrieval speed by 30% by optimizing solutions in BigQuery for high-volume data analysis
  • Led cloud security initiatives by designing and implementing IAM policies, firewall rules, and encryption mechanisms, ensuring compliance with industry best practices
  • Played a pivotal role in migrating legacy systems to GCP, reducing infrastructure costs by 25% and enhancing overall system availability
  • Contributed to product improvement initiatives by providing valuable insights based on hands-on experience with various cloud engineering tools and frameworks.

Cloud Data Engineer (GCP & AWS)

Jubilee Information & Technology Private Limited
11.2020 - 01.2022
  • Engineered and deployed serverless, cloud-native applications on GCP and AWS, achieving a 35% reduction in infrastructure costs and significant improvements in scalability
  • Designed and implemented complex ETL pipelines using Google Dataproc and Dataflow, integrating diverse data sources into BigQuery for real-time analytics and business intelligence
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • Design/development of custom DataFusion/Cdap plugins in Java for different source/transformations
  • Developed data pipelines monitoring system with Cdap Rest API, Stackdriver API, and Alerts from Java application deployed in GCP using Terraform/GCE instance groups /Cloud Scheduler/ Cloud Pubsub
  • .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
  • Leveraged Google Cloud Functions and Cloud Pub/Sub to build highly responsive, event-driven architectures, significantly improving system responsiveness and scalability
  • Migration of Hadoop and PySpark-based pipelines from on-prem Hadoop clusters to GCP Dataproc clusters using Airflow, Docker, Python
  • Automated infrastructure deployments using Terraform, improving deployment speed by 60% and ensuring consistent infrastructure across multiple environments
  • Established CI/CD pipelines using Cloud Build and Jenkins, streamlining deployment processes and enabling continuous integration across teams
  • Enhanced security through data encryption, multi-layered IAM policies, and firewall configurations, adhering to security and compliance standards across cloud environments

Cloud Engineer Intern

Hearing Solutions Private Limited
03.2020 - 08.2020
  • Assisted in configuring and deploying scalable GCP environments, including VPCs, Cloud Storage, and Compute Engine for high-performance computing workloads
  • Developed cloud-native microservices using Google Cloud Functions and Firebase, enabling real-time event processing for business-critical applications
  • Enhanced cloud infrastructure efficiency by implementing advanced automation techniques and tools.
  • Optimized data analysis processes by tuning BigQuery queries, reducing data processing times by 35% and improving operational efficiency
  • Contributed to product improvement initiatives by providing valuable insights based on hands-on experience with various cloud engineering tools and frameworks.
  • Data warehouse Architecture in BigQuery and migrating SQL pipelines to BigQuery - Managed containerized workloads using Docker and Kubernetes, ensuring high availability and zero-downtime deployments during system upgrades
  • Automated routine cloud operations through custom Python and Bash scripts, improving operational efficiency and minimizing manual intervention by 40%

Education

Master of Science - Management Information Systems

Saint Peter's University
Jersey City, NJ
11.2023

BBA - Management Information Systems

ICFAI University
Hyderabad, TS
04.2021

Skills

  • Google Cloud Platform (GCP)
  • Cloud computing
  • API development
  • DevOps principles
  • Kubernetes management
  • AWS expertise
  • Cloud services
  • Azure
  • Compute Engine
  • Cloud Storage
  • BigQuery
  • Infrastructure as Code
  • VPC
  • Stackdriver
  • Terraform
  • Ansible
  • Python
  • Java
  • Jenkins
  • Git
  • Bitbucket
  • Docker
  • Apache Airflow
  • Load Balancing
  • Cloud SQL
  • MongoDB
  • PostgreSQL
  • Hadoop
  • Spark
  • Hive
  • SQL

Timeline

Cloud Engineer

Colaberry
11.2023 - Current

Cloud Data Engineer (GCP & AWS)

Jubilee Information & Technology Private Limited
11.2020 - 01.2022

Cloud Engineer Intern

Hearing Solutions Private Limited
03.2020 - 08.2020

Master of Science - Management Information Systems

Saint Peter's University

BBA - Management Information Systems

ICFAI University

Core Competencies

Google Cloud Platform (GCP), AWS, Azure, Compute Engine, Cloud Storage, BigQuery, Kubernetes Engine (GKE), Cloud Functions, Pub/Sub, Dataflow, Cloud Spanner, VPC, Stackdriver, Terraform, Google Cloud Deployment Manager, Ansible, Python, Bash, Java, Jenkins, Cloud Build, Git, GitLab, Bitbucket, Docker, Kubernetes (GKE), Helm, BigQuery, Cloud Dataflow, Dataproc, Apache Airflow, VPC, Load Balancing, Cloud CDN, DNS, IAM, Cloud Armor, Cloud SQL, MongoDB, PostgreSQL, Stackdriver, Prometheus, Grafana, Hadoop, Spark, Hive, Kaha, SQL

Project Highlights

  • Cloud Infrastructure Optimization for Financial Services, Architected and deployed cloud infrastructure using GCP Compute Engine, Cloud Storage, and BigQuery to support real-time financial analytics. Reduced latency by 40% and improved data processing speed for decision-making.
  • Event-Driven Architecture for E-commerce, Led the migration of a monolithic e-commerce platform to an event-driven, serverless architecture on GCP using Cloud Functions and Pub/Sub, enabling scalable transaction processing and reducing system downtime by 99.9%.
  • Kubernetes Orchestration for Microservices, Designed and deployed a microservices-based architecture using Google Kubernetes Engine (GKE), ensuring horizontal scaling and high availability for a client-facing application. Achieved seamless scaling during traffic surges, reducing service disruption.

Core Competencies

Google Cloud Platform (GCP), AWS, Azure, Compute Engine, Cloud Storage, BigQuery, Kubernetes Engine (GKE), Cloud Functions, Pub/Sub, Dataflow, Cloud Spanner, VPC, Stackdriver, Terraform, Google Cloud Deployment Manager, Ansible, Python, Bash, Java, Jenkins, Cloud Build, Git, GitLab, Bitbucket, Docker, Kubernetes (GKE), Helm, BigQuery, Cloud Dataflow, Dataproc, Apache Airflow, VPC, Load Balancing, Cloud CDN, DNS, IAM, Cloud Armor, Cloud SQL, MongoDB, PostgreSQL, Stackdriver, Prometheus, Grafana, Hadoop, Spark, Hive, Kaha, SQL

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