Hire the Top 2% of
Remote Apache Airflow Developers
in Canada

Yassine L.

Vetted Apache Airflow 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

Douglas M.

Vetted Apache Airflow 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/

Saniasnain M.

Vetted Apache Airflow 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.

Sachi P.

Vetted Apache Airflow 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

Matthias E.

Vetted Apache Airflow developer in Canada (UTC-5)

Data Engineering professional with 10 years of extensive hands-on experience in delivering end to end Data Analytics solution across telecommunications, finance, and information technology industries. Analytical thinker, comfortable working across key functional business areas connecting disconnected facts and information to produce insights and accurate KPIs. Technical skills: Languages: Python, SQLite, Oracle SQL, PL/SQL, Teradata SQL, PostgreSQL, Jinja template Databases: Oracle, Teradata, Postgres, Snowflake, MySQL Tools: Anaconda, Jupyter, Spark, Informatica, dbt, Pentaho, Airflow, AWS SageMaker, AWS S3, Tensorflow, Keras, Spoon, Automate, TOAD for Oracle, FileZilla, Teradata SQL Assistant, Microsoft Excel (Vlookup & Pivot), Tableau, Tableau Prep, Domo, Asana, Crystal Report, SharePoint, Jira, Confluence, Slack

Olukayode A.

Vetted Apache Airflow developer in Canada (UTC-5)

A result oriented and highly resourceful manager, senior software engineer & architect with over 10 years’ experience servicing multiple verticals; spanning Investment Banking, Finance, Consumer/Retail Banking, Capital markets, Cross-border trade Logistics & Government; backed by a notable delivery track record.

Snehaa G.

Vetted Apache Airflow developer in Canada (UTC-4)

4+ years professional hands on software development experience using Java and Clojure Experience in design and development of web based client and server applications using Java Jetty servlet and web server and Clojure Ring web server framework Experience building SOA (Service Oriented Architecture) using RESTful architecture and web services Expertise in building applications with connection to RDBMS databases (PostgreSql, MySql, SQLServer, Oracle) using Java JDBC connector Expert working knowledge of client-server communication protocols (HTTP, HTTPS, WebSocket) Hands on experience with scripting in Unix, Linux environments Experience with Docker containerization for build migration testing Familiarity with Jenkins for application build and deployment Working knowledge of Apache Air?ow for work?ow orchestration using Python

Nan W.

Vetted Apache Airflow developer in Canada (UTC-7)

● Technical owner for concepts to product launches in supporting over $50 million ARR across over 65,000 monthly active users ● Architect focused on platform engineering for scaling full-stack development across teams ● Cloud-native proficient on building adaptive architecture

Kenneth F.

Vetted Apache Airflow developer in Canada (UTC-7)

I'm an experienced data scientist who is passionate about applications related to experimentation, causal inference, and personalization. I love to build solutions with appropriate system design trade-offs, and would love a role where I can wear multiple hats to solve different problems.

Amine J.

Vetted Apache Airflow 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.