Hire the Top 2% of
Remote Big data solutions Developers
in Australia

Rodrigo C.

Big data solutions 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.

Hani R.

Vetted Big data solutions developer in Australia (UTC+11)

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

Matt P.

Vetted Big data solutions developer in Australia (UTC+10)

As a seasoned Senior Engineer with 15 years of diverse industry and technology experience, I bring a wealth of knowledge to any team. With expert level C++ as well as .NET in C#, my skillset also extends to the front-end with React/Redux proficiency. I am now seeking my next challenge, where I can leverage my technical dexterity to drive impactful results.

Patrick M.

Vetted Big data solutions developer in Australia (UTC+11)

With 7 years of coding experience and a high interest in providing a high level of service, I excel in problem solving and matching requirements to get a projects finished to high standards.

Jordy W.

Vetted Big data solutions developer in Australia (UTC+10)

Hi, I’m Jordy, an Acoustical Engineer from the UK. I’m currently working as a freelance Audio (Research) Engineer and Python Developer. Primarily I work for a hearing technology startup based in Berlin. Previously I have been a volunteer teacher of an Introduction to Python programme at ReDI school (see more below). I also have a passion for SCUBA diving, and am a PADI Open Water SCUBA Instructor (OWSI). I intend to work professionally in both the Diving and technology industries, side by side. I have positive experience of this in the past. If you’d like to get in touch feel free to contact me on any of the methods given here.

Deval S.

Vetted Big data solutions developer in Australia (UTC+11)

I'm a Machine Learning Engineer with 5+ years of experience in developing ML-based software for video surveillance cameras. I enjoy implementing research ideas and incorporating them into practical applications. I advocate for highly readable and self-contained code. I love reading about designing scalable ML systems, developing novel ML models & techniques, and releasing models to production. In my free time, I work with clients globally for their content requirements in AI/ML domain. Technical Skills: ⇨ Data Science: Machine Learning, Statistics, Computer Vision, Natural Language Processing, Deep Learning, ⇨ Data Tools: PyTorch, Spark, TensorFlow, Python Notebooks, Graphlab. ⇨ Languages: Python, C++, SQL. ⇨ Database Systems: MySQL, PostgreSQL. ⇨ Technologies: AWS, Docker, Azure DevOps, Unit Testing, Git, Bash.

TURABOY H.

Vetted Big data solutions developer in Australia (UTC+8)

Experienced full-stack developer, building and maintaining web applications ranging from enterprise applications to eCommerce sites. Worked on projects with tech stack of Python, Django, Flask, C#, .NET and .NET Core, PostgreSQL, SQL Server, MySQL, and Javascript, React, Vue. Enjoy working with development teams and consider clear communication as the key to success.

Vivek V.

Vetted Big data solutions 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

Marco V.

Big data solutions developer in Australia (UTC+11)

Data scientist and insights engineer with 10+ years of experience in delivering executive insights from large and complex data sets to drive financial, operational, and customer experience benefits. Highly skilled across the full data to insight lifecycle from data sourcing, storage, and management; through to processing, analysis, insight development, and insight communication. Experienced with key concepts in maximizing value from large data sets, such as advanced statistical analysis, machine learning, and AI. Expert level user of a range of tools in data management and insights such as Pycaret, TensorFlow, Power BI, Tableau, Hadoop, Spark, Databricks, SQL server, Teradata, Oracle, R, RStudio, Python, and advanced Excel.

Danesh R.

Big data solutions developer in Australia (UTC+10)

Hands-on experience of 7+ years architecting, building and publishing multiple successful apps, reaching the Top 200 Apps in over 10+ countries worldwide leading the iOS development team for a fresh startup into production as well as having worked at big tech; PayPal as a lead consultant engineer. Also led the development of the iOS app at Carleton Energy Consulting and most recently at BuildAptive (both remotely in NY).