Daniel Pickens — Senior Software Engineer
A Software Engineer with a passion for learning new technologies. Experienced building data pipelines on TB/PB scale on Amazon Web Services (AWS). Comfortable with stream and batch processing using tools like Kinesis, Spark, Docker, Kubernetes, Python, Java and more. Hands-on experience working with various companies providing research, analysis, insight generation, demonstrations, and presentations. Excels as an individual contributor and in collaborative team settings, delivering tasks on-time and to specification. Programming Proficiencies – Python, JavaScript, Go, Java, C#, SQL, HTML, Bash Web - REST, JSON, HTTP, GraphQL Cloud - Amazon Web Services, Google Cloud Platform, Azure DevOps, OpenStack Big Data - Spark, Airflow, Glue, MapReduce, YARN, Kafka, Impala, SAS Viya, SAS 9.4 Platform, Jupyter Notebook Dev Ops - Docker, Kubernetes Analytics - Tableau, DataDog, Machine Learning, Data Management, Data Exploration, Data Visualization, IoT Streaming Analytics, Edge Analytics
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in cloud infrastructure and API development.
Location: Denver, Colorado, United States
Experience: 10 yrs 8 mos
Skills
- Software Development
- Code Review
- Api Development
- Cloud Infrastructure
- Devops
- Data Management
- Automation
- Data Migration
- Quality Assurance
Career Highlights
- Expert in building scalable data pipelines on AWS.
- Strong experience in cloud infrastructure and DevOps practices.
- Proficient in API development and automation solutions.
Work Experience
GitHub
Senior Software Engineer (1 yr 4 mos)
Apex Systems
Software Engineer (11 mos)
Microsoft
Software Engineer II (11 mos)
Fortis
Software Engineer (11 mos)
AbsenceSoft
Software Engineer II (1 yr)
TraceGains
Software Engineer (1 yr 5 mos)
Amazon
SDE (11 mos)
Carrot
Software Engineer (5 yrs)
Odessa
Software Engineer (2 yrs)
Education
Master of Science - MS at University of Colorado Boulder
Bachelor's degree at Temple University