Hire the Top 2% of
Remote ETL Developers
in Canada

Onyekachi N.

Vetted ETL 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.

Ossama S.

Vetted ETL developer in Canada (UTC-5)

Over 15+ years of IT experience with ERP migration and full implementation / integration including JDE and SAP ERP systems. Led and participated in 14 full SAP migrations (from thirteen individual systems/instances of legacy systems and other sources (DB2, Oracle, MS-SQL, Excel, MS-Access) and implementations of SAP including Go-Live and on-going support. Engaged and led developer teams (on-site and remote) in 3 full system archival projects after SAP Go-Live. Managed large data transformation projects including multiple domestic and global locations. Leading data profiling, cleansing, data migration and support activities. Designing and generating mapping documents, and leading data mapping workshops. Leading knowledge transfer workshops with various teams after Go Live. Managing in-house teams and 3rd party consultants for implementation & on-going support. Designing functional and technical specification as well as training materials. Managing people and resources on a daily basis. Detail oriented, problem solving, time management and leadership. Exposure to various industries including aerospace, manufacturing, distribution, pharmaceutical, logistics, warehousing, financial and telecommunications billing. Attended courses for the PMBOK review and PMP exam preparation.

Amine J.

Vetted ETL 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.

Sachi P.

Vetted ETL developer in Canada (UTC-4)

Over 6+ years of experience in Data Engineering, Data Pipeline Design, Development and Implementation as a Sr. Data Engineer and Data Developer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Experience with Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Big Data Technologies (Apache Spark) • Experience with GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub • Worked on ETL Migration services by creating and deploying AWS Lambda functions to provide a serverless data pipeline that can be written to glue catalog and queried from Athena. • Extensively used Python Libraries PySpark, Pytest, Pymongo, PyExcel, Psycopg, embedPy, NumPy and Beautiful Soup. • Migrated an existing on-premises application to GCP. Used GCP services like Cloud Dataflow and Dataproc for small data sets processing and storage. • Hands On experience on Spark Core, Spark SQL, Spark Streaming and creating the Data Frames handle in SPARK with Scala. • Experience in NoSQL databases and worked on table row key design and to load and retrieve data for real time data processing and performance improvements based on data access patterns. • Experience with Unix/Linux systems with scripting experience and building data pipelines. • Extensive experience in Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Map Reduce concepts. • Performed complex data analysis and provided critical reports to support various departments. • Expertise in development of various reports, dashboards using various PowerBI and Tableau Visualizations • Experience in building large scale highly available Web Applications. Working knowledge of web services and other integration patterns. • Experienced with version control systems like Git, GitHub, CVS, and SVN to keep the versions and configurations of the code organized. Efficiently facilitating task tracking and issue management using JIRA. • Good communication skills, work ethics and the ability to work in a team efficiently with good leadership skills. • Experience with continuous integration and automation using Jenkins. • Experience building docker image using accelerator and scanning images using various scanning techniques • Over 6+ years of experience in Data Engineering, Data Pipeline Design, Development and Implementation as a Sr. Data Engineer and Data Developer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Experience with Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Big Data Technologies (Apache Spark) • Experience with GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub • Worked on ETL Migration services by creating and deploying AWS Lambda functions to provide a serverless data pipeline that can be written to glue catalog and queried from Athena. • Extensively used Python Libraries PySpark, Pytest, Pymongo, PyExcel, Psycopg, embedPy, NumPy and Beautiful Soup. • Migrated an existing on-premises application to GCP. Used GCP services like Cloud Dataflow and Dataproc for small data sets processing and storage. • Hands On experience on Spark Core, Spark SQL, Spark Streaming and creating the Data Frames handle in SPARK with Scala. • Experience in NoSQL databases and worked on table row key design and to load and retrieve data for real time data processing and performance improvements based on data access patterns. • Experience with Unix/Linux systems with scripting experience and building data pipelines. • Extensive experience in Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Map Reduce concepts. • Performed complex data analysis and provided critical reports to support various departments. • Expertise in development of various reports, dashboards using various PowerBI and Tableau Visualizations • Experience in building large scale highly available Web Applications. Working knowledge of web services and other integration patterns. • Experienced with version control systems like Git, GitHub, CVS, and SVN to keep the versions and configurations of the code organized. Efficiently facilitating task tracking and issue management using JIRA. • Good communication skills, work ethics and the ability to work in a team efficiently with good leadership skills. • Experience with continuous integration and automation using Jenkins. • Experience building docker image using accelerator and scanning images using various scanning techniques

Laiq A.

Vetted ETL developer in Canada (UTC-7)

\- I have strong experience Architecting and building highly scalable APIs. Lead teams, reviewed code/PRs. \- 4+ Years of experience with golang, Python, AWS, Kubernetes, Kafka, Jenkins and Prometheus. \- Have been involved in Building teams (Interviewing, Hiring and mentoring team members). \- Strong production experience working with production systems, monitoring, collecting metrics and building visualizations around those metrics. \- I have build large scale data pipelines, migrating systems from legacy systems into the cloud based systems. \- Have worked with Kafka, Prometheus, Grafana dashboards, Helm chart and Kustomize. \- Strong communication skills and have lead teams for complex projects.

Ashwin R.

Vetted ETL developer in Canada (UTC-5)

Full Stack Engineer with over 5 years of experience in building scalable, cloud-native applications. Skilled in Python, React.js, and SQL, with expertise in developing robust APIs and working in Agile environments & Cloud Services like Azure/AWS. Proven ability to analyze business requirements, design technical solutions, and deliver high-performance software systems. Strong focus on enhancing efficiency, security, and operational excellence through modern development frameworks, automation, and testing.

Pratyush .

Vetted ETL developer in Canada (UTC-4)

I am a backend engineer who has extensive and comprehensive experience with data warehousing, SQL and NOSQL databases, AWS and Google Dataproc cloud services. I have written a lot of ETL workflows, utilized Apache Spark framework for processing and persisting data in relational databases like Hive, Postgres, and also document stores like MongoDB and key-value stores like Hbase. I also have experience with devOps, working with Jenkins scripts. I am proficient in Java, Scala, Python.

Simon S.

Vetted ETL developer in Canada (UTC-6)

Over the past 7 years, I've accumulated a wide range of professional coding experience—from full-stack web development to AI, machine learning, data science, data engineering, and mobile app development. My deep expertise with the subtleties of Python and TypeScript, combined with my knowledge of recent AI tools, enables me to write efficient code quickly that solves real problems. With an MBA and experience as a startup co-founder, I efficiently blend technical expertise with business objectives. I'm particularly interested in working on data engineering, data science, and AI projects, where I can leverage my skills to drive meaningful impact.

Douglas M.

Vetted ETL developer in Canada (UTC-3)

Experienced Software Engineer with eighth years in the tech industry, cloud computing, and scripting. My self-taught journey has equipped me with hands-on skills in application development and infrastructure management, with a strong emphasis on solutions for principal cloud platforms like GCP, AWS, and Azure. I am adept at transforming complex ideas into functional and efficient software systems, ready to contribute to innovative and challenging projects. https://www.kungfudev.com/

William B.

Vetted ETL developer in Canada (UTC-3)

Avid technologist that loves programming. An expert in requirements gathering, solution design, and implementation delivery, with significant experience in ‘triple-A’ video games on massive, distributed Agile teams, and with scalable Enterprise software development. Programming has always been my passion, starting with Lego Technic at the age of 7. I began creating my own text-based games in C, at the age of 10. I started web development at 13 (HTML, JavaScript, PHP), followed by Half-life and Unreal mod development. I continued working on a diverse array of personal programming projects throughout my 20’s while working for EA/BioWare, formalizing my experience as a ‘Professional’ programmer in 2017 with the University of Alberta. No longer working 60-80 hour weeks, I began freelancing as an Unreal Engine C++ programmer shortly after.