Hire the Top 2% of
Freelance Data Engineering Developers
in Oceania

Shreyali G.

Data Engineering developer in New Zealand (UTC+13)

Adaptive and versatitle Software Developer with 6+ years’ experience, strong work ethic and exceptional communication skills, seeking opportunities in the dynamic New Zealand market. Quick learner with proven ability to adapt to new technologies and environments. Eager to contribute technical proficiency, creative problem-solving, and dedication to continuous improvement.

Rodrigo C.

Data Engineering developer in Australia (UTC+10)

Computer Engineer from the University of Concepción in Chile, with a track record of excellence in roles focused on data. With expertise as a competent Cloud Data Architect, Data Engineer, DBA Consultant (Oracle Advantage Certified Partner), Datamart Developer specializing in Microsoft applications. In these roles, I have assumed significant responsibilities in the design and development of cloud processes; development, maintenance and modeling of new databases, particularly in the domain of ETL processes. I am a quick learner and have a passion for problem-solving.

kiran K.

Data Engineering developer in Australia (UTC+10)

Data Engineer with over ten years of expertise implementing data lakes, integration and warehousing solutions. In addition to data engineering work with Cognizant and wireless with NBN Co, Kiran has enterprise experience in financial services from MetLife, ING Group, and Bank of America. He is highly motivated when challenges are thrown at him, as they bring out his best! Kiran loves to program and use logical thinking to solve complex problems efficiently.

Siddharth J.

Data Engineering developer in New Zealand (UTC+13)

I am a full-stack data scientist. I enjoy exploring data and finding valuable insights from noise, engineering useful features from raw data sources, and building end-to-end machine learning products. Over the last 3 years, I’ve worked with amazing teams in both on-prem and cloud-based tech stacks to deliver business-critical projects. I thrive in fast-paced environments, like learning about up-and-coming AI-based technology in my spare time, and enjoy challenges that test my skills.

Vineel V.

Data Engineering developer in Australia (UTC+10)

Experienced Cloud DevOps Engineer with a passion for designing, implementing, and optimising robust cloud solutions. Proficient in Amazon Web Services (AWS) and Azure Kubernetes Service (AKS), I specialise in orchestrating containerized applications using Kubernetes, automating infrastructure deployment with Terraform, and ensuring seamless operations with Ansible. My strong background in Python programming allows me to create custom tools and scripts to enhance automation and streamline workflows. With a keen eye for scalability, security, and performance, I'm dedicated to creating and managing cloud infrastructures that empower businesses to achieve their goals efficiently and reliably.

Salek A.

Data Engineering developer in Australia (UTC+11)

Experienced DevOps Engineer and PhD graduate, working with teams worldwide and providing AWS cloud solutions. Adept at leading infrastructure optimisation, automation, and continuous integration/continuous deployment (CI/CD) initiatives, data engineering, blockchain applications and IoT. AWS and Kubernetes Certified with data development experience in cloud and on-premises systems. Seeking to leverage my expertise to drive efficiency, reliability, and scalability in cloud-based environments.

Kabir N.

Data Engineering developer in Australia (UTC+11)

A skilled professional offering over 20+ years of experience in driving innovative concepts and expanding horizons through future based strategies and technological advancements, covering Key Industry Verticals – Energy & Utilities, Mining, EPC, Transport. Globally savvy, highly motivated, skilled communicator with a strong analytical background, consistently highly rated in the organization. Adaptable leader and exceptional team player, utilizing collaborative approach in work to manage global projects.

Joshua P.

Vetted Data Engineering developer in New Zealand (UTC+13)

From a computational physicist with 30+ publications, I've transitioned into lead roles within software and data development. Being an expert in multiple coding languages, cloud platforms, and frameworks, I mentor (and learn from) junior colleagues to strengthen our team culture. I am seeking senior technical leadership roles that combine strategic planning and team management with hands-on technical contributions.

Varsha B.

Data Engineering developer in Australia (UTC+11)

I'm a Data Scientist based in Australia. With a diverse background spanning Seek Ltd, CognitiveView, AI Australia, and more, I've honed my skills in AI and machine learning, specializing in natural language processing (NLP) and recommendation systems. Throughout my career, I've led impactful projects, such as spearheading recommendation models and pioneering NLP-driven systems, resulting in significant efficiency gains and improved user experiences. My expertise extends to algorithm engineering, healthcare solutions, and virtual reality simulations. My career aspirations center around continuous innovation and leveraging technology to address real-world challenges. I'm passionate about contributing to projects that make a positive impact, particularly in healthcare and sustainability domains. Moving forward, I aim to further expand my expertise in AI and machine learning while advocating for responsible AI practices. Overall, I'm driven by a desire to push the boundaries of technology and contribute to meaningful projects that improve lives and drive positive change.

Vivek V.

Vetted Data Engineering developer in Australia (UTC+11)

As data is the engine of every business, I took my data science course and loved to interpret the data, exploit the information from it and apply various machine learning algorithms and predict the future results. I am motivated, fascinated in understanding the meaningful insights of data and actively seeking for the full-time opportunities in the data science stream and always owed with “Can Do Spirit”. **TECHNICAL SKILLS Programming Languages:** Python (Pandas, NumPy, Matplotlib, Sklearn, OpenCV, PIL), R, Pyspark, C, Java, node.js Data Science: Data Wrangling, Data Modelling, Data Visualization, Applied Data Analysis, Agile Methodology Machine Learning Algorithms: Classification, Clustering, Regression, Association Rules and Collaborative Filtering Web Technologies: HTML, Java Script, CSS, Bootstrap, WordPress Databases: SQL, Postgre SQL, Oracle, MongoDB Tools: CUTE (Component Under Test Explorer), Tableau, Power BI, ETL (AlteryX) Operating Systems: Windows, Linux(Ubuntu), Unix Management Tools: Microsoft Office, Integrity, Kubernetes, Docker, Git (For repositories), Stack, Jira, Confluence Cloud Services: Amazon Web Services (AWS), Azure (Kubernetes), DevOps In order to know some meaningful insights of data, how the data is revolving around the whole world and how it has impacted on the people is what made me keen to do my masters in "Data Science" at "Monash University". When I was doing this course, my passion for data science has grown still to a greater extent when my professor started to teach how based on the information gain, entropy "Decision Trees" algorithm has been designed and also through "Associative Learning" algorithms. How every activity associated with **machine learning (or) artificial intelligence i**s being related to one hidden accurate, appropriate algorithm inside it, made my learning and practical interlinking of my course subjects to the real-time world in a better way. 💡Deep understanding of network protocols (TCP/IP, UDP, DNS, DHCP, SDN), Troubleshooting. 💡Programming Languages: Python (Pandas, NumPy, Matplotlib, Sklearn, OpenCV, PIL), R, Pyspark, C, Ada95, node.js 💡Data Science: Data Wrangling, Data Modelling, Data Visualization, Applied Data Analysis, Agile Methodology 💡Machine Learning Algorithms: Classification, Clustering, Regression, Association Rules and Collaborative Filtering 💡Web Technologies: Apache Tomcat, HTML, Java Script, CSS, Bootstrap, WordPress 💡Databases: SQL, Oracle, MongoDB 💡Tools: CUTE (Component Under Test Explorer), Tableau, Power BI, ETL 💡Operating Systems: Windows, Linux(Ubuntu), Unix 💡Management Tools: Microsoft Office, Integrity, Kubernetes, Docker 💡Cloud Services: Amazon Web Services (AWS), Azure