Dheeraj A.

DevOps Engineer

Dallas, Texas, United States2 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

3+ years of experience in DevOps and Cloud engineering.
Expert in automation and reliability engineering across AWS and Azure.
Strong analytical skills focused on system stability and incident resolution.

Stackforce AI infers this person is a Cloud Engineering and DevOps specialist with a focus on automation and data analytics.

Contact

Skills

Core Skills

Cloud EngineeringDevopsData Engineering

Other Skills

SalesforceHerokuPython (Programming Language)Amazon Web Services (AWS)SQLPandasNumPyAWS LambdaAWS GlueQuickSightTableauPower BIPostgreSQLMicrosoft Power BIMicrosoft Power Query

About

Engineer with 3+ years of experience in DevOps and Cloud specializing in automation, production support, reliability engineering, and infrastructure quality across AWS and Azure. Strong analytical skills with a focus on system stability, monitoring, incident resolution, and adherence to operational and engineering standards.

Experience

2 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

Current Experience

Thanawalla digital

Solution Engineer Intern

Jun 2025 – Aug 2025 · 2 mos · Dallas, TX · Remote

SalesforceHeroku

Accenture

Cloud Engineer

Aug 2021 – Dec 2023 · 2 yrs 4 mos · Hyderabad, Telangana, India · Remote

Implemented cloud and DevOps focused automation using Python to support infrastructure validation, configuration checks, and reliability workflows across AWS services including EC2, S3, Lambda, Redshift, and Glue, ensuring scalable and compliant operations.
Designed and optimized SQL based operational queries, health checks, and maintenance routines in Amazon RDS and Redshift to improve system reliability, performance monitoring, and support for production workloads.
Built Python driven validation, monitoring, and data quality checks using Pandas and NumPy within AWS Lambda and Glue to detect anomalies, edge cases, and operational issues across large scale datasets stored in S3 and Redshift.
Supported analytics and reporting platforms by maintaining reliable backend data access, aggregation logic, and service integrations consumed by QuickSight, Tableau, and Power BI, ensuring consistent availability and performance in production environments.

Python (Programming Language)Amazon Web Services (AWS)Cloud EngineeringDevOps

Tech mahindra

Intern

Jan 2020 – May 2020 · 4 mos · Remote

Assisted in deploying and maintaining cloud infrastructure on AWS including EC2, S3, VPC, IAM, and CloudWatch
Supported containerized applications using Docker and Kubernetes, performing pod monitoring, scaling, and basic troubleshooting
Helped maintain CI/CD pipelines for application builds and deployments using tools such as Azure DevOps and GitHub
Monitored application and infrastructure health using Splunk, Grafana, and Datadog, assisting with alert tuning and dashboard updates
Participated in production support activities including log analysis, incident triage, and issue resolution under senior engineer guidance
Assisted with root cause analysis and documentation for recurring infrastructure and deployment issues
Automated simple operational tasks using Bash and Python scripts to reduce manual effort
Supported Linux-based systems, performing service restarts, configuration checks, and system health validations
Followed ITIL-based incident and change management processes in enterprise environments
Collaborated with cross-functional teams to improve deployment stability and operational efficiency

Python (Programming Language)DevOps