Hire the Top 2% of
Remote Actuarial modelling Developers
in Canada

Amine J.

Vetted Actuarial modelling developer in Canada (UTC-5)

Strong verbal and written communication skills. Strong networking and collaboration skills Good control of stress and fast learning ability. Highly skilled in collecting business requirements and translating them to technical specifications Proven ability to deliver advanced analytics solutions with Databricks Experienced with CI/CD tools (Git, Azure DevOps, GitLab, GitHub) 9 years of experience dedicated to data engineering Databricks Certified Data Engineer Associate | Microsoft Certified Data Engineer Associate. Professional in building and deploying Distributed Machine Learning / Deep Learning models. Proficient in Hyperparameter tuning 4 years of experience dedicated to data science and Machine Learning, Data Science Micro Master’s Degree from University of California-San Diego ([edX.org](http://edx.org/)). Databricks Certified Machine Learning Associate Provided consultations for a range of sectors, including government, manufacturing, energy, and transportation. Excellent coaching / training skills for junior team members. Agile Software Development. Proactive self-learner, continuously prepared to embrace new challenges like Generative AI.

Yassine L.

Vetted Actuarial modelling developer in Canada (UTC-5)

Hacker, tinkerer, curious and always up for exploring and learning new things. I thrive in solving problems, and building systems while keeping up with the highest standard thereof. I have quite some milage in backend software development and data engineering. And I often wear as many hats as necessary to do the job. **Skills:** Python, Scala, Rust, Golang, Java, Bash, SQL, NoSQL, Vertica, ScyllaDB, MongoDB, Teradata, Apache Druid, Kafka, Hadoop, Apache Spark, Apache Beam, Amazon Web Services, Google Cloud Platform, Grafana, Prometheus, Datadog, Emacs, Vi, Intellij, Git, Mercurial, Github Actions, CircleCI, Linux, FreeBSD

Ose A.

Vetted Actuarial modelling developer in Canada (UTC-7)

Data Engineer with over 15 years of experience within the Upstream Oil and Gas industry. Expertise in designing and implementing data architectures and governance frameworks to manage the complete exploration and production data life cycle, including ingestion, transformation, delivery, data movement and quality assurance.

Onyekachi N.

Vetted Actuarial modelling developer in Canada (UTC-8)

Onyekachi is a cloud and data engineer with a passion for problem-solving, data analysis, technical support, data engineering, new technologies, cloud migration, automation, and delivering exceptional customer service. He is eager to take on challenges to engineer solutions and integrate technology services into the fabric of clients’ businesses.

Ya X.

Vetted Actuarial modelling developer in Canada (UTC-8)

• 15+ years(5 in Canada plus 10+ abroad) of design and development experience on multiple large-scale,highly available and scalable software systems which can be transformed into new products with great value. • Hands-on experience with industry methodologies and best practices such as Iterative, Agile, Scrum, Dev/Ops,TDD etc, ensuring a seamless connection to team and contributing efficiently. • Hands-on leading experience of multiple large cross-country projects collaborating actively with multifunctional teams to effectively streamline the process and improve the communication efficiency. • Strong problem-solving and learning abilities, and being keen on cutting-edge technology innovation with continuous self improvement on technical capabilities. Fluent in English and Mandarin. **Skills** * Program Language: Java/JS/TS/HTML/CSS * Design: OOA/OOD/Design Pattern * Data Modal: SQL/NoSQL/Oracle/MySQL/H2/Redis/MongoDB * Data Persistence: JPA/MyBatis/JDBC * Development Methodologies: Agility/Scrum/TDD/DEV/OPS/CI/CD * Framework: Spring MVC/Spring Boot/Spring Cloud * Architecture Style: SOA/Micro Service * Web Containers: Nginx/Tomcat/Netty/Webflux * Source Management & Build & Deployment: SVN/GIT/Maven/Docker * Network: HTTP/TCP/BIO/NIO * Service API: SOAP/Restful/OpenAPI/Swagger * Mentoring

Saniasnain M.

Vetted Actuarial modelling developer in Canada (UTC-4)

Google Cloud Certified Professional Data Engineer and Big Data Enthusiast with 5 years of experience in designing and implementing and architecting autonomous and on-demand Cloud Data Engineering ETL pipeline solutions to load data from both batch and streaming sources into Data Warehouses, Data Lakes and Systems Migration to the Cloud. Looking for opportunities to translate my expertise and experience in Google Cloud into efficient ETL Data Pipeline and Warehouses.

Blosher B.

Vetted Actuarial modelling developer in Canada (UTC-7)

Data engineer with significant experience designing end-to-end solutions from ETL pipelines, APIs, PySpark notebooks, databases, and other software products. I am highly dedicated and driven to exceed management expectations. I am seeking an opportunity to showcase my skills and solve data challenges.

Dipo .

Vetted Actuarial modelling developer in Canada (UTC-7)

A results-driven and highly skilled Data Engineer with a proven track record (10 years) in designing, implementing, and maintaining robust data architectures and pipelines. Possessing a deep understanding of data infrastructure, ETL processes, and data modeling, I am dedicated to driving the efficient collection, storage, and processing of large-scale datasets. With expertise in various data (cloud) technologies and programming languages, I excel at optimizing data workflows and ensuring data integrity and security.

Fernando F.

Vetted Actuarial modelling developer in Canada (UTC-5)

Tech founder, SQL expert, Data engineering expert, internationally awarded and recoginized data expert. Fernando has been consulting with startups from pre-seed all the way to Fortune 100 companies for the past 20 years. He is a college professor and mentor to various founders and tech ecosystems.

Jenika S.

Vetted Actuarial modelling developer in Canada (UTC-4)

Lifelong tinkerer with an innate curiosity to understand what makes our world move. Engineering undergrad supplied the ‘how’ and an MBA/consulting experience clarified the ‘why’—in developing analytical solutions to complex business problems.