Deepak Shivamurthy Email & Phone Number

Bengaluru, Karnataka, India

◦ Led the migration from Teradata to an on-premise Kubernetes/GCP environment, optimizing scalable infrastructure solutions across multiple platforms. Managed the data platform by integrating tools and technologies for efficient data collection, processing, storage, and analysis, enabling data-driven decision-making and actionable insights.◦ Spearheaded the automation and deployment of a cloud-based data platform utilizing Google Cloud Platform services and Kubernetes for container orchestration, improving deployment speed and reliability.◦ Designed and implemented end-to-end CI/CD pipelines using Jenkins, GitHub Actions, ArgoCD, and Terraform, streamlining the deployment of data services including data pipelines, data lakes, and analytics workloads.◦ Collaborated with Data Engineers to integrate cloud-native technologies for real-time data processing, optimizing big data workloads, and improving system performance.◦ Led the successful migration of on-premise infrastructure to GCP, resulting in a 30% reduction in infrastructure costs and a significant increase in system availability and fault tolerance.◦ Ensured platform scalability, high availability, and security by implementing best practices for Identity and Access Management, Virtual Private Cloud design, and disaster recovery strategies.◦ Fostered a culture of continuous improvement, driving the adoption of automation, monitoring, and optimization practices that aligned with organizational goals.

Bengaluru, Karnataka, India

◦ Built and managed scalable Crawler Platform infrastructure on Google Cloud Platform (GCP), leveraging cloud-native services to ensure high availability, reliability, and performance.◦ Optimized data collection pipelines, ensuring efficient crawling of large-scale web data sources while minimizing resource usage and latency. Effectively using proxies when crawling is essential to avoid being blocked or throttled by target websites and to distribute requests across multiple IPs for more efficient data collection.◦ Utilized GCP services such as Google Kubernetes Engine (GKE), Cloud Storage, Dataproc and Pub/Sub for effective resource management and data processing.◦ The logging infrastructure uses a basic ELK stack, where Logstash collects JSON-formatted logs. RabbitMQ serves as a buffer between streaming logs and the Elasticsearch (ES) instance. Multiple Logstash shippers retrieve logs from RabbitMQ and forward them to a central Elasticsearch cluster.

Bengaluru, Karnataka, India

• Worked on DataGrinch, the mobile analytics platform to support SQL on unstructured data in the market. The platform supports mobile and server integrations to log data and is used for data mining and reporting. Typical uses include app analytics, performance and user monitoring. TECHNICAL LEADERSHIP: Architecture, Design and Data Modelling for DataGrinch. Built minimum viable product in a quarter to test market hypothesis. Iterated multiple times to fine tune offering. Worked as server side developer providing rest end points to develop fully functional web application, iOS-Andoroid-Web SDKs, Server Side Integration modules in Python, PHP and Node.js and also managed infrastructure. IMPACT:1. A completely horizontally scalable platform.2. Ground up SOA architecture giving us the ability to spin off various product offshoots. 3. Each node is capable of handling over 4500 requests.4. Successfully productionized with a lean team peaked at 4 members.• Worked on Jio Events Platform capable of ingesting, storing and processing Jio Events at petabyte scale. The platform is built from scratch using open source frameworks such as ElasticSearch, HDFS, Kafka, Spark-Streaming, Drill & SparkSQL.Both platform/product processes a Billion events from millions of users per month.

Bengaluru, Karnataka, India

Led the development and scaling of a Centralized Management System built with Java, MongoDB, and Cassandra, ensuring high availability, performance, and scalability across the platform.◦ Architected and implemented NoSQL database solutions, optimizing data models and ensuring fault tolerance and high throughput for millions of users.◦ Spearheaded the successful migration of an MSSQL database from one data center to another, overseeing data integrity, minimizing downtime, and ensuring seamless transition with no data loss.

Chennai, Tamil Nadu, India

◦ Focused on PL/SQL development, particularly in Stored Procedures, SQL tuning, and query optimization, significantly enhancing database performance and reducing query execution times.◦ Developed and implemented automated reporting solutions for monitoring long-running and slow queries, enabling proactive identification and resolution of performance bottlenecks.

Bengaluru, Karnataka, India

◦ Contributed to the development of comprehensive clinical, administrative, and financial management system for behavioral health and human services providers, by thoroughly understanding the systems scope and translating business requirements into technical solutions.◦ Wrote efficient and maintainable MOD-PL/SQL code and developed PL/SQL procedures to support core application functionality, ensuring seamless integration of clinical, administrative, and financial data.

Bengaluru, Karnataka, India

◦ Designed and implemented optimized complex PL/SQL procedures, functions, database triggers and SQL queries to support business processes and automated data validation and integrity checks, reducing manual errors.◦ Conducted performance tuning of SQL queries using explain plan and index management, improving query execution time.

Bachelor Of Engineering, Computer Science

B.E, Computer Science And Engineering

Education record