Data Engineer Devsecops
Resume:
QAZI ELLAHI
Chicago, IL *.*********@*****.*** +1-847-***-**** Linkedin
SUMMARY
Multi-Cloud & DevSecOps Engineer Full-Stack & Data Engineer AI/ML & Automation Specialist Certified Hybrid Cloud DevSecOps Engineer with 7+ years of experience spanning cloud automation, full-stack development, and data engineering. Skilled in end-to-end SDLC, CI/CD pipelines, infrastructure as code, and cloud security across AWS, Azure, and GCP. Expertise in database administration, ETL pipelines, and large-scale data processing, with hands-on experience in SQL, NoSQL, PostgreSQL, Snowflake, and AWS Glue. Proven success in enterprise cloud migrations, self-service platform engineering, and AI- driven automation. Passionate about scalable architectures, intelligent automation, and optimizing distributed systems. Currently pursuing a Master of Engineering (MEng) in AI & ML at UIC, with certifications spanning Cloud, Data, Security, and AI/ML. EXPERIENCE
Pathward (MetaBank) November 2023 – Present
Senior Cloud Operations Engineer Full-time - Remote Lead Multi Cloud SME in operational/deployment with focus: scalability, security, efficiency, expertise in DevSecOps methodologies.
● Maximized ML Operations Efficiency with AWS SageMaker, implementing an ideal time policy that significantly curtailed costs. This optimized the lifecycle of machine learning models, with cost-efficiency on high performance testing.
● Developed an MLOps pipeline using SageMaker, Kubeflow, and Terraform, automating ML model training and deployment across cloud environments, automated AI-driven anomaly detection for cloud database performance monitoring, leveraging AWS Lambda, CloudWatch, and SageMaker.
● Strengthened security and compliance across multi-account environments using AWS Control Tower, organizational unit
(OU) and Terraform, (scaler) enhancing cloud security posture and PCI compliance adherence. Deployed scalable cloud infrastructure with AWS landing zones, architected and implemented robust, enterprise-scale cloud solutions.
● Optimized AWS RDS & Aurora PostgreSQL performance through Terraform-based provisioning and automated backup workflows, integrating AWS Glue & Redshift to enhance data ingestion and transformation across financial platforms.
● Architected a multi-cloud database infrastructure using SQL Server, AWS RDS (PostgreSQL, MySQL) and Azure SQL Database, ensuring seamless high-availability and scalability for critical applications.
● Automated server patching and compliance monitoring using WSUS, AWS Systems Manager (AMS), and Tenable Cloud Security, while leveraging Aurora PostgreSQL datasets and AWS QuickSight for real-time patch reporting, anomaly detection, and database performance optimization, improving infrastructure reliability and compliance enforcement.
● Managed AWS and Azure cloud operations, adeptly handling console-based requests and admin changes through ServiceNow, significantly improving operational response times and efficiency. ITRS Group April 2023 – November 2023
Platform DevOps Engineer Full-time - Remote
Engineered multi-cloud K8 SaaS deployments,. Led client demos, optimizing configurations with enterprise needs to secure deals.
● Designed and automated the provisioning of EKS, AKS and GKE clusters using Jenkins and Terraform, seamlessly integrating ITRS Obcerv through Helm charts. This initiative reduced deployment times by 30% and ensured consistent, reproducible cloud configurations across multiple regions.
● Championed cloud security and scalability best practices, implementing robust TLS measures and constructing zero-trust network architectures. Enhanced microservices communication efficiency by 40% through advanced RBAC strategies, leveraging Istio and Linkerd.
● Led a POC for deployments on AWS and Azure, confirming platform adaptability. Trained a 20-member sales team on Helm chart deployments, achieving a 50% surge in client interactions, 20% rise in successful client demos.
● Standardized infrastructure automation, emphasizing Infrastructure as Code (IaC) practices using Jenkins and Terraform. This approach ensured version-controlled, auditable, and agile infrastructure setups, leading to significant cost savings.
● Collaborated with cross-functional teams using Jira and Confluence, consistently meeting project deliverables ahead of schedule. Partnered with SREs, employing Prometheus and Grafana for real-time system monitoring and health checks. BlueTalent Technology July 2022 – March 2023
AWS Solutions Consultant Contract - Chicago, IL
Cloud SME consulting for Fortune 500 & mid-level enterprises, specializing in cloud architecture, system design, and automation. Led POC, database migrations, optimized multi-cloud deployments, and delivered scalable, cost-efficient solutions. Page 2 of 3
● Pioneered the shift from a monolithic system to a cloud-native, microservices architecture on AWS. Realized a 70% reduction in licensing costs by transitioning from Oracle to Aurora, and streamlined deployments using CI/CD tools like Jenkins, GitLab, and Artifactory.
● Facilitated as the SME, bridging technical teams and stakeholders, and achieved a 2-hour RTO and 30-minute RPO for disaster recovery. Successfully migrated over 70 million records to Aurora PostgreSQL within a tight timeframe, ensuring data integrity and minimal disruption.
● Orchestrated the migration of 100+ microservices to AWS Lambda and API Gateway. Established global traffic management using Route 53, ELB, and VPC, while fortifying security protocols with IAM, CloudTrail, and ensuring compliance with SOC2 and PCI-DSS standards.
● Automated deployment and refresh processes using Terraform, and Jenkins, TeamCity reducing database provisioning times by 40%. Led MySQL upgrade process, from manual snapshot restore to AWS Blue/Green deployment led to near zero human error and process improvement with minimal downtime.
● Championed cost optimization strategies, leveraging AWS cost analysis tools and tagging, resulting in a 15% monthly infrastructure cost reduction, translating to annual savings over $200K, without compromising on performance or security.
● Developed advanced SQL performance tuning strategies, improving query execution times by 55%, directly supporting critical revenue-generating platforms. Integrated AWS CloudWatch with Grafana, Datadog and SolarWinds for centralized monitoring, significantly improving proactive issue detection and resolution. Municipal Parking Services July 2021 – July 2022
DevOps Engineer Full-time - Remote
Led DevOps efforts, optimizing cloud operations, enhancing security, and driving automation for operational efficiency.
● Implemented Infrastructure as Code solutions, resulting in significant cost reductions and streamlined provisioning processes across Azure and AWS. Achieved enhanced infrastructure stability and inter-cloud communication.
● Leveraged Prometheus, Grafana, and ELK Stack for robust infrastructure monitoring and log management. Elevated application performance and scalability with New Relic and Dynatrace, ensuring optimal system health.
● Engineered real-time, cost-efficient cloud scaling with AWS Auto Scaling and custom metrics from a Ruby on Rails-based Blowfish app. Leveraged RabbitMQ metrics and backlog data. Utilized CloudWatch, EventBridge triggers, and Lambda functions for precise, dynamic scaling in response to daily load variations.
● Used Puppet tool for managing system configurations. Deployed Puppet, Dashboard, and DB for configuration management to existing infrastructure. Used Chef for all the software configurations and wrote multiple complex cookbooks and Recipes.
● Developed a reusable Terraform module library for multi-cloud provisioning, cutting deployment time by 50%, and implemented policy-as-code automation with Terraform Cloud and Sentinel to enforce security across 500+ resources.
● Built CI/CD pipelines for database schema deployments using Flyway, GitHub Actions, and Terraform, automating SQL migrations across multi-cloud environments, implementing GitOps workflows with ArgoCD and Terraform Cloud, ensuring compliance-driven infrastructure automation.
Infosys May 2018 – July 2021
Cloud Support Engineer (05/2019 – 08/2021) Full-time - Chicago, IL
● Spearheaded DevOps integrations using AWS Shield and WAF, establishing advanced CloudWatch monitoring systems that drastically reduced response times.
● Integrated Apache Airflow with AWS Glue, automating complex data processing workflows for streaming and batch analytics pipelines, orchestrated near real-time data ingestion for IoT sensor data using Kinesis Firehose, S3, and DynamoDB, supporting high-throughput analytics workloads.
● Optimized microservices and application performance through AWS API Gateway and Elasticache, automating deployments with Ansible, HAProxy, and AWS suite for streamlined VM provisioning on VMware, developed Ansible scripts automating server provisioning and Docker images, reducing provisioning and deployment time from 2 hours to less than 10 minutes.
● Automated cloud infrastructure provisioning with AWS CloudFormation, reducing manual configurations, developed AWS Lambda functions to automate log processing and alerting, enhancing incident response time by 60%. Cloud Support Associate (05/2018 – 05/2019) Contract - Chicago, IL
● Collaborated on high-severity incident management, achieving a 95% SLA adherence rate, and integrated PagerDuty for efficient on-call rotations.
● Wrote Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python. Ran Ansible Scripts to provision Dev servers. Page 3 of 3
HCL Technology March 2016 – February 2018
Help Desk Technician Tier 2 Contract - Chicago, IL
● Developed expertise in virtual architecture, hardware/software configurations, provided advanced network troubleshooting, monitored live traffic, and IT support tickets via Salesforce. SKILLS
● Cloud Platforms:
AWS: EC2, S3, ELB, Auto Scaling, Glacier, EBS, Elastic Beanstalk, CloudFront, VPC, SQS, Lambda, SNS, Elastic Cache, Route 53, API Gateway, RDS, Glue (ETL), Redshift (Data Warehouse), Bedrock. Azure: Azure VMs, Azure Storage, Active Directory, Azure Kubernetes Service, Azure DevOps, Azure Data Factory (ETL), Azure Machine Learning, OpenAI API Integration.
GCP: Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Vertex AI, Generative AI Studio, AI Platform Pipelines
● Databases & Data Pipelines: MySQL, PostgreSQL, MongoDB, Cassandra, Redis, DynamoDB, RDS, Cosmos DB, Elastic, MS SQL, DB2, Snowflake, Redshift, BigQuery, ETL Pipelines (AWS Glue, Azure Data Factory, Apache Airflow), Streaming & Batch Processing (Kafka, Kinesis, Flink, Spark Streaming)
● Networking & Security: AWS IAM, KMS, CloudTrail, Security Groups, Network ACLs, Transit Gateway, VPC Peering, Azure Security Center, AZ500 Certified, Zero Trust Architectures
● Compliance & Governance: SOC2, PCI-DSS, HIPAA,
FedRAMP Moderate, AWS Security Hub, Azure Policies
● Operating Systems: CentOS, Ubuntu, Red Hat, MS Windows, MacOS, VMware vSphere
● Monitoring & Logging: Prometheus, Grafana, ELK Stack
(Elasticsearch, Logstash, Kibana), New Relic, Datadog, Dynatrace, AWS CloudWatch, Azure Monitor
● Collaboration & Communication: Slack, Microsoft Teams, JIRA, ServiceNow, Confluence
● AI/Machine Learning: LLMs & AI Agents (AWS Bedrock, OpenAI API, LangChain, Hugging Face Transformers, AutoGPT), MLOps & AI Workflow Orchestration (Kubeflow, MLflow, SageMaker Pipelines, Azure ML Pipelines, Vertex AI Pipelines), Vector Databases & Search (Pinecone, FAISS, Amazon OpenSearch (RAG), Weaviate), Deep Learning & NLP (TensorFlow, PyTorch, Scikit- learn, NLTK, spaCy Retrieval-Augmented Generation (RAG) for AI Chatbots), AI Deployment & Scaling (Serverless AI (Lambda + AI Models)
● Programming & Scripting: Python, Golang, Ruby, Bash, PowerShell, Shell Scripting, JavaScript, TypeScript, C# (.NET), YAML, JSON, HTML
● Containerization & Orchestration: Kubernetes (EKS, AKS, GKE), Docker, Rancher, ArgoCD, Service Mesh, OpenShift, Helm
● Infrastructure as Code (IaC): Puppet, ARM Templates, Ansible,, CloudFormation, Chef, Terraform (HashiCorp Certified), SaltStack
● CI/CD & Automation: Jenkins, GitLab CI, CircleCI, Travis CI, Azure Pipelines, GitHub Actions, Maven, ARM Templates
● Version Control & Repositories: Git, GitHub, Bitbucket, JFrog Artifactory, Nexus Repository
● Deployment & Best Practices: Infrastructure as Code (IaC) principles, Blue/Green Deployments, Canary Releases, Chaos Engineering, Immutable Infrastructure, Multi-Cloud Deployments
● People Management: Excellent Communicator, Problem Solving, Technical Training, Consultation, Team Collaboration EDUCATION
University of Illinois at Chicago (UIC) B.Sc. 2019-2021 Major: Mathematics and Computer Science, Minor: Finance. CERTIFICATIONS & ONGOING DEVELOPMENT
Google Cloud: Professional Data Engineer – Completed 2025 Microsoft Certified: Azure Security (AZ-500)- Completed 2024 HashiCorp Certified: Terraform Associate (003) - Completed 2024 AWS Certified Solution Architect - Professional - Completed 2022 AWS Certified Solution Architect - Associate - Completed 2021 AWS Certified Developer - Associate - Completed 2021 Cisco Certified Network Associate (CCNA) - Completed 2021 Salesforce Administrator - Completed 2020
Google Cloud - Cloud Database Engineer: Expected 2025 Google Cloud - Machine Learning Engineer: Expected 2025 Databricks Certified Data Engineer Professional: Expected 2025
Microsoft Certified - Azure AI Engineer: Expected 2025 Microsoft Certified - Azure Data Engineer: Expected 2025 Certified Kubernetes Administrator: Expected 2026
AWS Certified - Machine Learning: Expected 2026
AWS Certified - Security: Expected 2026
UIC - Master of Engineering (MEng) - AI/ML : Expected 2026
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