Machine Learning Data Engineering

Kunal Patra

LinkedIn: https://www.linkedin.com/in/kunalpatra7/ 347 Van Nostrand Ave, Jersey City, NJ 07305

Ph no: +1-480-***-**** Email:***************@*****.***

PROFESSIONAL SUMMARY

Over 7 years of experience in cloud computing, DevOps, and data engineering, leveraging AWS, Azure, and GCP platforms.

Proficient in implementing Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Azure Resource Manager templates.

Expertise in containerization and orchestration with Docker, Kubernetes, and Helm, ensuring scalable and efficient deployments.

Extensive experience in automating CI/CD pipelines using Jenkins, GitLab, and Azure DevOps for optimized software delivery.

Skilled in optimizing machine learning models using Apache Spark and CUDA, resulting in a 60% increase in system throughput.

Successfully managed AWS data ecosystems, optimizing ETL processes with Glue, Redshift, and Python to boost data transformation efficiency by 45%.

Developed and deployed scalable ML models, leveraging deep learning and NLP techniques to solve complex business challenges.

Extensive experience in implementing and managing observability solutions using AppDynamics, New Relic, Dynatrace, and Splunk, reducing MTTR by 40%

Expertise in implementing SRE practices including SLI/SLO definitions, error budgets, and reliability engineering.

Strong background in incident management and on-call responsibilities, maintaining 99.99% service availability.

Experience in implementing distributed tracing and APM solutions for microservices architectures.

Strong background in cloud security and compliance, implementing HIPAA and GDPR standards with AWS IAM and encryption.

Skilled in Python, Shell, and Bash scripting to automate cloud resource management, reducing manual work by 40%.

Experience in cloud cost optimization, reducing annual expenditures by over 20% through hybrid cloud strategies and automation.

Proficient in creating data visualization dashboards using Tableau and Power BI for C-suite executives, driving data-driven decision-making.

Led cross-functional teams in Agile environments, delivering DevOps projects early and boosting productivity by 40%.

Extensive hands-on experience in database management with MySQL, PostgreSQL, and MongoDB for data storage and retrieval.

Strong background in performance tuning, root cause analysis, and incident management, enhancing system reliability by 25%.

Directed the migration of legacy systems to cloud environments, reducing operational costs by 30% and increasing scalability.

Proven expertise in network and security management, optimizing infrastructure using TCP/IP, DNS, and TLS protocols.

Designed and optimized end-to-end data pipelines, increasing data processing efficiency by 300% with Python and AWS Lambda.

Proficient in leveraging DevOps tools like Ansible, Chef, and Puppet for configuration management and automation.

Strong leadership and mentoring skills, guiding teams in adopting cloud-native technologies and best practices.

Certified Kubernetes Administrator and AWS Solution Architect with a focus on continuous learning and technology

adoption

TECHNICAL SKILLS

Cloud Platforms

Microsoft Azure, AWS, GCP

AWS Services

EC2, VPC, IAM, EBS, S3, Elastic Load Balancer (ELB), Auto Scaling, Lambda Functions, Elastic Beanstalk, RDS, API Gateway, Route 53, CloudWatch, AWS Secret Manager, SQS, SNS, CloudFormation, Application Migration Service, Glue, Lake Formation, Redshift, EKS, ECS, NAT, ACL

Azure Services

App Services, Key Vault, Function App, Blob Storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR), App Gateway, Azure Kubernetes Service (AKS), Azure SQL, Azure Cosmos DB, Azure PostgreSQL, ARM Templates

Google Cloud Platform (GCP)

Velostrata, GKE, Stackdriver, VPC Network Firewalls, Google Cloud Firewall Rules

Infrastructure as Code (IaC)

Terraform, AWS CloudFormation, Azure Resource Manager (ARM) Templates

Source Code Management

Git, GitHub, GitLab, Bitbucket, Azure Repos, AWS CodeCommit

Build Tools

Maven, Ant, Gradle, MS Build

CI/CD

Jenkins, Azure DevOps Pipelines, GitLab, GitOps, Argo CD

Artifactory

JFrog, Nexus

Code Scanning & Quality Analysis

SonarQube

Container Orchestration

Docker, Kubernetes, OpenShift, Helm Charts, EKS, AKS

Configuration Management Tools

Ansible, Chef, Puppet

Web Servers

Nginx, Tomcat, Microsoft Internet Information Service (IIS)

Application Servers

JBoss, Oracle WebLogic Server, IBM WebSphere Application Server

Logging & Monitoring

CloudWatch, CloudTrail, Azure App Insights, Azure Monitor, Nagios, Splunk, Grafana, Prometheus, AppDynamics, New Relic, Datadog, Dynatrace

Databases & Data Warehousing

Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon Redshift, Azure Cosmos DB, Azure MySQL, Azure PostgreSQL, Cassandra, Postgres

Data Engineering & Machine Learning

ML Flow, Python (Boto3, NumPy, NLTK), R

Observability & Monitoring

AppDynamics, New Relic, Dynatrace, Jaeger, OpenTelemetry, Splunk, ELK Stack, Prometheus Query Language (PromQL)

Data Visualization & BI

Tableau, Power BI

Scripting & Programming Languages

Python, Shell Scripting, Bash, Groovy, YAML, C, C++, Java, Golang

Operating Systems

Microsoft Windows, Linux, UNIX

Testing & QA

Blackbox Testing, Whitebox Testing, Regression Testing, Stress Testing, Smoke Testing

Documentation & Collaboration Tools

Confluence, MS Office

Issue Tracking & ITSM

JIRA, ServiceNow, Remedy

Agile Methodologies & Project Management

Agile, SAFe, Waterfall Methodology

CERTIFICATIONS

Certified Kubernetes Administrator

Certified AWS Solution Architect Associate.

PROFESSIONAL WORK EXPERIENCE

Wells Fargo Cloud DevOps Engineer New Jersey, USA Jan 2024 – Present

Optimized ML models using CUDA and Apache Spark in a distributed environment, increasing system throughput by 60%.

Developed ML systems tailored to meet specific business challenges using advanced algorithms and tools, enhancing organizational capabilities.

Improved model performance through optimal dataset and method selection, conducting tests and analyses to improve accuracy by 15%.

Continuously trained and adjusted ML systems to adapt to evolving data, ensuring sustained performance and relevance.

Extended ML libraries with deep learning and NLP, creating innovative predictive models for complex problem-solving.

Ensured scalable and robust performance during ML model deployment into production environments.

Developed a DevOps-driven GenAI solution within an IaaS framework using Terraform for automated health code compliance; leveraged Python to augment system reliability and operational efficiency, achieving 95% accuracy in compliance reporting and reducing related activities by 70%.

Implemented comprehensive APM solution using AppDynamics and New Relic, reducing application downtime by 45%

Established SLO/SLI frameworks and error budgets across critical services

Created custom Dynatrace dashboards and alerting rules for proactive monitoring

Set up end-to-end distributed tracing using OpenTelemetry, improving troubleshooting efficiency by 35%

Automated traditional ETL processes with SSIS and Python, recovering data transformation efficiency by 45% and reducing data load errors.

Managed AWS data ecosystems involving S3, Glue, and Redshift, streamlining processes to accelerate data availability for analytics by 40%.

Collaborated with stakeholders to ensure data science initiatives aligned with business objectives, supporting strategic goals in the marketing domain.

Developed Ruby scripts to automate infrastructure provisioning and configuration for healthcare applications, ensuring high availability and compliance while reducing deployment times.

Executed secure microservices architecture for a major healthcare provider, integrating telehealth services and improving patient access by 50%.

Participated in the implementation and certification of HIPAA-compliant systems, automating security and compliance to boost patient data protection.

Adapted ML models to leverage parallel computing environments, using CUDA and Apache Spark to reduce training times by over 40% and increase throughput by 60%, enabling the deployment of more complex and accurate models.

Infosys DevOps Engineer Gurgaon, India Apr 2023 – Jul 2023

Conducted root cause analyses in cloud environments, developing proactive solutions that improved system reliability and operational efficiency by preventing recurring issues.

Led the migration of on-premises infrastructure to GCP, designing VPCs and Subnets to achieve a 40% reduction in operational costs and increased system scalability.

Directed a cross-regional team of 25 engineers in a high-stakes DevOps project, finishing two months ahead of schedule and increasing productivity by 40% through fostering accountability and collaboration.

Maintained industry certifications, including Certified Kubernetes Administrator and AWS Solution Architect Associate, leveraging expertise to improve project efficiency and client satisfaction by 30%.

Migrated financial applications to cloud platforms, designing solutions that decreased operational costs by 40% and significantly improved scalability.

Implemented Splunk for centralized logging and monitoring, improving MTTR by 30%

Developed automated incident response playbooks reducing resolution time by 40%.

Created custom monitoring solutions using AppDynamics for microservices architecture.

Established SRE best practices including incident management and post-mortem processes.

Accelerated project delivery by 35% and enhanced system performance by 25% by leading cross-functional teams, completing projects ahead of schedule through strategic leadership.

Standardized infrastructure provisioning with Terraform across departments, decreasing deployment times by 30% and enhancing security consistency.

Designed Tableau dashboards for executives, showcasing marketing performance and supporting data-driven decisions.

I identified bottlenecks in legacy data workflows, leading to the development of an automated solution using Python and AWS Lambda that increased data throughput by 300% and cut costs by 50%.

Collected and analyzed real-time data from marketing channels, improving marketing spend efficiency by 20%.

Conducted quarterly system reviews, enhancing uptime by 20% and reducing service delivery costs by 15%.

Integrated new data sources into the main data lake, enriching ML models and increasing customer prediction accuracy by 22%.

Led a team of 10 in adopting Agile and DevOps practices, increasing project delivery efficiency by 20%.

Managed a GenAI project lifecycle within a DevOps framework, deploying a scalable ML infrastructure with Terraform and Docker in AWS, reducing operational overhead by 30% while adhering to regulatory changes.

Developed Python and BOTO3 scripts to automate AWS resource management, reducing manual provisioning time by 40% with CloudFormation templates.

Augmented cloud resource management efficiency using automated scripts in Python and Bash, reducing deployment times by 40% and operational costs by 25%.

Optimized enterprise application network reliability and security by configuring TCP/IP, DNS, DHCP, and TLS protocols, reducing network-related issues by 30%.

Built advanced statistical models using Python and SQL to forecast sales and inventory needs, advancing supply chain efficiency and reducing operational costs by 22%.

Directed DevOps for mobile health services, enhancing system reliability and deployment cycles for real-time patient monitoring and emergency healthcare services.

Architected robust GCP solutions using Big Query and Dataproc for real-time analytics platforms, improving data processing speeds by 40% and reducing data management costs by 30%.

Capgemini Cloud Engineer Gurgaon, India Mar 2021 – Mar 2023

Architected a Kubernetes and Docker-based microservices infrastructure, achieving 40% uptime, reducing cloud costs by 40%, and increasing market responsiveness by 35% and transaction speeds by 20%. Led DevOps integration across India and Europe, boosting CI/CD pipeline efficiency with Jenkins and GitLab, increasing team agility by 40%, reducing communication barriers by 50%, and shortening project timelines by 25%.

Led a $2M infrastructure upgrade, improving performance and scalability by 40% through advanced cloud solutions and modern security practices.

Initiated regular feedback sessions and tailored training, enhancing internal customer satisfaction by 30% and fostering a collaborative work environment.

Spearheaded integration of Datadog and Elastic Search, increasing operational efficiency by 30%, improving monitoring by 25%, and speeding up issue resolution by 40%.

Overhauled multi-cloud security on AWS and GCP, enhancing endpoint security and reducing security incidents by over 60% and improving threat detection and response times by 40%, ensuring GDPR compliance.

Served as Solution Architect for cloud migrations, enhancing system performance and resilience by 35%.

Led cost-optimization initiatives via hybrid cloud solutions, cutting annual cloud expenditures by over 20%.

Migrated over 10 legacy systems to AWS, reducing operational costs by 30% and increasing scalability by 40%; optimized processes with Ansible and Terraform, enhancing application performance by 25%.

Implemented Agile in DevOps and engineering teams, reducing cycle times by 20% and improving market response.

Utilized Terraform for end-to-end automation on AWS and GCP, reducing errors by 40% and setup times by 30%.

Re-architected IT consultancy firm's microservices infrastructure using AWS Cloud Services and Kubernetes; developed Terraform scripts, increasing scalability by 50% and reducing costs by 30%.

Developed multinational CI/CD pipeline efficiency with Jenkins and GitLab, improving delivery times by 25% and communication efficiency by 30%.

Set up New Relic instrumentation for critical applications, improving performance visibility by 50%.

Implemented Dynatrace for real-time application performance monitoring.

Created automated remediation workflows for common application issues.

Developed comprehensive runbooks and documentation for incident management.

Worked with engineering leaders to integrate reliability in product design, reducing post-deployment issues by 40%.

Led a cross-functional project to analyze customer segmentation, driving targeted marketing strategies that increased a major retail client's campaign ROI by 30%.

Mentored 10 junior engineers in cloud technologies and CI/CD practices, boosting team productivity by 25%.

Led cybersecurity overhauls integrating AWS IAM and VPC security configurations, reducing potential threats by 35% and ensuring industry compliance.

Optimized a Windows server environment for healthcare data processing, improving data throughput by 30% and reducing downtime.

Designed and implemented an AWS data lake, using S3, Redshift, and Glue, improving data speeds by 30%.

Automated container administration with Kubernetes and Docker, achieving 99.99% system uptime and reducing operational overhead by 30%.

Deployed InfluxDB with Grafana integration for performance monitoring, enhancing system responsiveness by 20%.

Led network virtualization in corporate data centers, reducing operational costs by 25% through dynamic network administration.

Directed rapid resolution of high-performance network issues, reducing system downtime by 50% and improving customer satisfaction by 35%.

Redesigned data architecture for a retail client with AWS Glue and Redshift, improving query performance by 35% and supporting real-time business intelligence.

Developed ML data pipelines reducing time to insights for marketing analytics to days using automated processes on EMR with Spark and Hive.

Conducted data visualization workshops for marketing and sales teams, enhancing data literacy and decision-making effectiveness.

Built a model to assess pricing impacts, leading to a revised pricing strategy and a 15% increase in sales.

Ericsson Site Reliability Engineer Gurgaon, India Apr 2017 – Mar 2021

Automated scripts in Shell and Python lowered operational time by 40% and errors, increasing system reliability. Better Linux security, cutting vulnerabilities by 55%.

Standardized RCA process, cutting recurring incidents by 45% and improving incident management by 25%.

Built an automation framework in Python and Ansible, reducing deployment times by 45%, errors by 60%, and enhancing software delivery punctuality.

Executed CI/CD pipeline with Harness.io, integrating AWS EKS and Docker, which decreased deployment times by 40% and production failures by 60%.

Configured AWS IAM policies and enforced AES-256 encryption, reducing cloud vulnerabilities by 50% and ensuring GDPR and HIPAA compliance.

Earned certifications in network and security, improving deployment speeds by 25% and compliance by 20%.

Led code reviews, improving scalability by 10% and code efficiency by 15%.

Designed a monitoring solution integrated with CI/CD workflows, increasing fault detection by 25% and reducing MTTR.

Standardized infrastructure provisioning with Terraform, decreasing deployment times by 30% and enhancing security consistency. Achieved a 30% reduction in annual cloud costs using AWS Cost Explorer and Trusted Advisor.

Authored technical documentation for cloud architectures, improving onboarding for junior engineers and stakeholders by 50%.

Resolved data integration issues with custom Python scripts and AWS Lambda, reducing data latency by 50%.

Directed data science and marketing teams to integrate ML algorithms into marketing, increasing campaign responsiveness and customer satisfaction.

Partnered with marketing to apply predictive analytics to digital ads, boosting user engagement by 25% and lowering cost-per-acquisition by 20%.

CORE SKILLS

Key Competencies: Business Analysis, Agile/Scrum Methodologies, Leadership Skills, Project Management, Quality Assurance, Cross-Functional Team Collaboration, Task Management, Time Management, Communication Skills, Documentation & Status Reports

Analytical Skills: Data analysis, Problem Solving, Trend Analysis, Root Cause Analysis, Monitoring and alerting, Continuous Improvement, Data-driven decision-making.

EDUCATION

Master of Science in Information Systems Management from W. P. Carey School of Business at Arizona State University GPA 3.89/4.00

Bachelor of Technology in Information Technology from Kalinga Institute of Industrial Technology

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