Hello! My name is Larry Encomienda, and I'm currently living in Riyadh, Saudi Arabia, originally from the Philippines. I'm delighted to share more about my background and experiences in data engineering and DevOps, particularly within the banking industry.
As a seasoned data engineering and DevOps professional, I've had the privilege of working extensively in the banking sector, where I've been deeply involved in leveraging technology to drive innovation, enhance operational efficiency, and ensure regulatory compliance.
Throughout my career, I've honed my skills in programming languages such as Python, SQL, and Scala, using them to develop robust data processing applications and machine learning models to support various banking operations, including risk management, fraud detection, customer analytics, and regulatory reporting.
Additionally, I have significant experience with DevOps practices and tools, particularly Azure DevOps, AWS, and CI/CD methodologies. I've led initiatives to automate software development and deployment processes, improve collaboration between development and operations teams, and ensure the reliability and scalability of banking systems and applications.
One of my notable achievements in the banking industry was leading the migration of legacy banking systems to cloud-based platforms like AWS, where I designed and implemented CI/CD pipelines for automated testing and deployment, reducing time-to-market and minimizing downtime during migration.
In summary, my diverse background and experiences in data engineering, DevOps, and the banking industry make me well-equipped to contribute effectively to your team. I'm passionate about leveraging technology to drive digital transformation and innovation in the banking sector, and I'm excited about the opportunity to bring my expertise to your organization.
| π Nationality | π΅π Philippines |
| π‘ Residency | π΅π Philippines |
| π Location | πΈπ¦ Saudi Arabia |
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| Skilled in | js java react node css c sharp c plus plus dot net python sql snowflake postgresql powerbi tableau qliksense google studio azure devops aws fivetran apache kafka apache spark apache nifi microsoft dynamic 365 avaloq kubernetes prometheusetes gitlab terraform bitbucket docker jenkins prometheous grafana excel macro servicenow jira |
| Fluent in | englishmandarintagalog |
| Preferred timezone | +8 |
| Preferred annual pay (min) | $65,000/year |
| Preferred hourly pay (min) | $16/hour |
| Last seen | 2 years ago |
| Signed up | 2 years ago |
| Badges |
π¨βπ» Remote worker π Early adopter |
2021 - 2023: Data Engineer @ HSBC
2020 - 2021: Data Engineer @ ING
2018 - 2020: Data Ops Analyst @ FHB
2014 - 2018: Entrepreneurship @ CSJP