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

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.

SUVARNA Y.

Data Engineering developer in Australia (UTC+10)

A dynamic and ambitious Senior Data & Analytical Consultant with 16+ years of experience in implementing and leading various Data Platform projects efforts from requirement gathering to its implementation in financial services, Investment Banking, Education, Insurance, Personal care, Pharmaceutical and Hospitality services domains using various tools like Microsoft BI Stack, Azure Stack, Snowflake, DBT & Power BI etc.,

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.

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

Sreejith S.

Data Engineering developer in Australia (UTC+10)

As a Lead Marketing Data Scientist at Appliances Online (a division of Winning Group), I am constantly seeking new and innovative ways to drive business growth through data-driven insights. With over ten years of international experience in data science and analytics, I have honed my expertise in cloud computing, machine learning, big data analytics, and business intelligence. Throughout my career, I have worked as a liaison between business units and technology teams, leveraging my strong communication and collaboration skills to effectively lead consulting initiatives. I am passionate about the potential of predictive analytics and cloud computing to provide scalable insights and have developed strong skill sets in data modeling, data visualization, and data science. I am particularly excited about the possibilities of scaling up data science and analytics projects in the cloud, leveraging Linux/Ubuntu servers in virtual machines to enable end-to-end ML deployment processes. Looking ahead, I see myself at the forefront of data-driven marketing management consulting. Academically, I hold a Bachelor's degree in Electronics Engineering and a postgraduate degree in Information Technology & Strategic Marketing from the University of Technology, Sydney, where I was recognized as an Outstanding International Student Award Holder in both 2014 and 2015. In addition to my professional work, I am an active blogger on Medium, Towards Data Science, Analytics Vidhya, and The Startup. Outside of work, I enjoy traveling, soccer, skydiving, and exploring topics related to metaphysics. As an Australian citizen with an Indian lineage, I am authorized to work full-time in Australia, New Zealand, India, and the US on an E3 visa. If you'd like to learn more about my experience or discuss potential collaboration opportunities, feel free to check out my portfolio on GitHub or reach out to me directly at +61-434221939. Cheers Sree

Hani R.

Vetted Data Engineering developer in Australia (UTC+11)

Senior solutions architect, with a focus on backend, cloud, e-commerce and analytics. Strong commercial and GTM strategy exp.