Sr. Cloud Devops Engineer Resume
Tempe, ArizonA
SUMMARY
- Seasoned Cloud DevOps Engineer with 19 years of overall industry experience. Expertise in Microsoft and Oracle database systems, Azure and AWS cloud platforms.
- Extensive experience as a Data Architect and Microsoft Business Intelligence stack developer for various large and mid - sized companies across a wide range of industries.
- Very energetic and enthusiastic about technology, programming and mobile applications. Strengths include collaborating in Agile pair-programming environments, mentoring and team sharing sessions.
TECHNICAL SKILLS
Versioning Tools: Bitbucket, GitHub, Git, AWS CodeCommit, SVN, TFS
Cloud Platforms: AWS, Azure
Cloud Technologies: S3, Redshift, EC2, AWS Glue, Lambda, RDS, Quicksight, pySpark, Python, Pandas, matplotlib, numPy
Big Data: Kafka, Hadoop
Collaboration Systems: Skype for Business, Microsoft Teams, Slack, Yammer
Development Methodology: SAFe Agile, Scrum, Waterfall
Automation Tools: Terraform, CloudFormation, Docker, Airflow
CI Tools: AWS CLI, PowerShell, Git Bash, Visual Studio Code
Operating Systems: Windows, Linux, Unix, MacOS
Project Management: JIRA, ZenDesk, CA Service Desk, XTraction
Languages: SQL, Swift, C#, VB.Net, Python, PL/SQL, HTML, CSS
Database Systems: Microsoft SQL Server, mySQL, MongoDB, Oracle, noSQL, HVR
Reporting: Power BI, Google API, SSRS, Excel, AWS Quicksight, SSAS, SiSense
IDE: SQL Management Studio, XCode, PL/SQL Developer, Informatica PowerCenter, DBVisualizer, Visual Studio, pyCharm, Jupyter Notebooks, Data Tools, Redgate, AWS Console, Anaconda
Text Format and Editors: Atom, Notepad ++, PrettyJSON
API Testing: Postman
PROFESSIONAL EXPERIENCE
Sr. Cloud DevOps Engineer
Confidential, Tempe, Arizona
Responsibilities:
- Delivered solutions to improve cloud architecture and implementations using Terraform for IaC, AWS CLI and Git Bash.
- Developed an AWS S3, Lambda, Glue and Redshift data pipeline of vendor data feeds for file conversion and data warehousing using pySpark and Python scripts.
- Created, maintained and shared documentation of AWS Data Lake build and release processes using wiki pages.
- Demonstrated strong ability to cross-train team members in Agile train methodologies.
- Redesigned and optimized SSIS and Informatica ETL workflows to reduce contention.
- Developed executive-level financial reporting with Power BI dashboards.
BI Engineer
Confidential, Phoenix, Arizona
Responsibilities:
- Design ETL methods (SSIS) to extract data required from disparate back-end data sources .
- Develop automated data feeds to populate data marts with CA Service Desk activity.
- Develop interactive BI dashboards with XTraction CA software to support LOB.
- Create and maintain database objects for reporting and data integration projects.
SQL Developer/DBA
Confidential, Los Angeles, California
Responsibilities:
- Develop and maintain cloud data infrastructure with Azure and SSIS.
- Optimize company ETL framework and operational reporting platform including data warehouse environment and data marts.
- Provide production database support and maintenance plan management and automation.
- Develop monitoring and notification email reports to support operational business functions and overnight service broker processing.
- Design new database objects as required by business for reporting and data integration deliverables. Performance tune databases and automated weekly maintenance tasks.
ETL Developer
Confidential, Agoura Hills, California
Responsibilities:
- Created, executed and maintained dynamic SSIS packages to support operations and compliance department.
- Developed T-SQL stored procedures for SLA reporting and ETL data archiving processes.
- Designed auditing and performance monitoring store procedures and database objects using SQL Audit.
- Responsible for daily production support using the JIRA request system and SharePoint collaboration team site for incident status tracking.
SQL Developer
Confidential, Glendale, California
Responsibilities:
- Designed ETL framework for a data migration project for residuals department.
- Implemented Reporting Services layer for data profiling of royalties, participations, residuals payment histories, and reconciliation reporting.
- Created T-SQL stored procedures, schemas, user-defined functions, views and wide tables to support data outputs.
- Developed database backup jobs, managed server users and roles, object schemas and information-schema reporting for performance monitoring and tuning.
- Created technical documentation templates using Word and Visio for departmental use and release into the production environment.