Deeksha Shukla
Marlborough,MA
Summary
Results-driven Cloud & Platform Engineering professional with 8+ years of progressive experience spanning software engineering, DevOps, data engineering, and cloud architecture. Proven expertise in designing and delivering scalable, secure, and cost-optimized solutions across AWS and Azure, with hands-on experience in cloud migration, Infrastructure as Code, event-driven architectures, and automated ETL/ELT pipelines for both batch and near real-time data platforms.
Strong background in building microservices with Java, Python, and Node.js; implementing CI/CD pipelines using Jenkins, Azure DevOps, and AWS Developer Tools; and deploying containerized workloads using Docker and Kubernetes. Adept at engineering metadata frameworks, operationalising ML workloads, and enforcing platform-level best practices including governance, observability, and security remediation.
Recognized for translating business requirements—particularly in the insurance domain—into robust technical designs, while driving delivery excellence through cross-functional collaboration, Agile practices, and effective team leadership. Skilled at end-to-end platform ownership, from architecture to automation to optimization.
Overview
10
10
years of professional experience
1
1
Certification
Work History
Architect - Platform
Quantiphi Analytics
04.2024 - Current
- Led the architecture and delivery of a scalable Insurance Pre-sales Data Platform, enabling near real-time ingestion and management of accounts, enrollment, and product data.
- Directed a cross-functional platform engineering team, driving adoption of cloud and data engineering best practices across the account.
- Designed and implemented an Event-Driven Architecture using AWS MSK, enabling decoupled, high-throughput data processing.
- Architected and deployed multi-tier applications leveraging AWS services with a strong focus on high availability, fault tolerance, security, and auto-scaling.
- Implemented cloud cost-optimization strategies, reducing operational overhead while improving platform efficiency.
- Established Data Governance frameworks, including data quality, lineage, and standardized metadata practices.
- Designed a custom Master Data Management (MDM) solution using AWS services integrated with Snowflake to support unified, reliable customer and product data.
- Collaborated closely with business stakeholders to translate functional requirements into robust technical designs, participating in architecture reviews, refinement sessions, and daily scrums.
Associate Technical Architect
Quantiphi Analytics
01.2021 - 01.2024
- Engineered automated end-to-end data ingestion and ETL pipelines for the Customer 360 Data Platform, improving ingestion accuracy and analytics readiness.
- Implemented Infrastructure as Code (IaC) for AWS and Azure environments, scaling infrastructure provisioning and enhancing governance.
- Designed and developed microservices and backend APIs using Java and Spring Boot for scalable and modular application components.
- Built metadata enrichment and knowledge graph capabilities by integrating Glue Crawlers, Lambda, and Neptune, improving traceability and semantic search across datasets.
- Operationalized machine learning workflows by deploying ML models on SageMaker, covering preprocessing, model training, and validation automation.
- Performed performance tuning for ETL pipelines and downstream applications, reducing processing times and optimizing resource utilization.
- Created monitoring and observability dashboards using Splunk and Dynatrace, delivering actionable insights into system performance and reliability.
- Collaborated in Agile delivery processes, contributing to sprint planning, story refinement, CI/CD workflows, and continuous improvement.
Senior Platform Engineer
Quantiphi Analytics
01.2020 - 01.2021
- Led the migration of data components from on-premise systems to AWS Cloud, improving scalability, reliability, and performance.
- Streamlined deployment workflows by integrating GitHub with Jenkins, enhancing CI/CD efficiency and reducing deployment errors.
- Containerized applications using Docker and orchestrated workloads on Kubernetes to enable consistent, portable, and scalable deployments.
- Designed and developed enterprise-grade Spring Boot APIs to deliver high-quality data services to downstream applications.
- Improved code quality and development standards by integrating SonarQube and CircleCI into the development lifecycle.
- Automated repetitive operational tasks using Python and Shell scripting, significantly reducing manual effort and operational overhead.
Platform Engineer
Quantiphi Analytics
01.2019 - 01.2020
- Automated cloud infrastructure provisioning using AWS CloudFormation, Terraform, and AWS CLI, improving deployment consistency and reducing manual configuration effort.
- Developed ETL automation components for the Customer 360 Data Platform, enabling efficient data ingestion, transformation, and pipeline orchestration.
- Implemented security remediation across cloud environments, addressing vulnerabilities, hardening configurations, and ensuring compliance with cloud security best practices.
Senior Software Engineer
Persistent Systems
01.2018 - 01.2019
- Developed backend services using Node.js and Python for the Content Delivery team, enhancing data processing efficiency and system reliability.
- Containerized services and deployment workflows by implementing Kubernetes-based orchestration, improving scalability and operational consistency.
- Designed and implemented CI/CD pipelines in Jenkins to support automated build, test, and deployment processes across environments.
- Automated monitoring for AWS Data Pipelines, enabling proactive issue detection and improving overall platform observability.
Software Engineer
Persistent Systems
01.2016 - 01.2018
- Migrated on-premise infrastructure to AWS Cloud, improving scalability, reliability, and deployment efficiency.
- Developed Infrastructure as Code (IaC) using AWS CloudFormation and AWS CLI to standardize, automate, and version-control environment provisioning.
- Automated end-to-end deployment processes using custom scripting, reducing manual effort and enabling faster, consistent releases.
Education
Bachelor of Science - Computer Engineering
Acropolis Institute of Technology & Research
Indore01.2016
Skills
Cloud Platforms:
AWS, GCP, Azure
Cloud Data Platforms:
AWS DynamoDB, AWS DocumentDB, AWS Neptune, GCP Cloud SQL, GCP BigQuery, Snowflake
DevOps & IaC Tools:
Git, TFS, Jenkins, AWS CloudFormation, AWS CodePipeline, AWS CodeBuild, Azure DevOps, Terraform, CircleCI
Containerization & Orchestration:
Docker, Kubernetes
Monitoring & Observability:
Splunk
Messaging & Event Frameworks:
Apache Kafka, AWS SQS, RabbitMQ
Programming Languages:
Python, Java, Shell Scripting
Libraries & Frameworks:
AWS SDK, Boto3, Spring Boot, Flask
Core Competencies:
Infrastructure as Code (IaC), ETL/ELT Automation, CI/CD Automation, Cloud Automation, Cost Optimization, Backup & Disaster Recovery, Server Patching, Cloud Security & Networking Best Practices, Microservices Architecture
Certification
- AWS Certified DevOps Engineer - Professional
- AWS Certified Security - Speciality
- AWS Certified Solutions Architect - Professional
- Microsoft Certified: Azure Fundamentals
Timeline
Architect - Platform
Quantiphi Analytics
04.2024 - Current
Associate Technical Architect
Quantiphi Analytics
01.2021 - 01.2024
Senior Platform Engineer
Quantiphi Analytics
01.2020 - 01.2021
Platform Engineer
Quantiphi Analytics
01.2019 - 01.2020
Senior Software Engineer
Persistent Systems
01.2018 - 01.2019
Software Engineer
Persistent Systems
01.2016 - 01.2018
Bachelor of Science - Computer Engineering
Acropolis Institute of Technology & Research