Data Engineer

Data Analyst, Data Engineer or BI roles, bringing strong SQL, Python, Power BI, cloud data and problem-solving skills.
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Work expectations

Status
Actively looking
Not looking
Not looking
Open to new opportunities
Location
Melbourne
-
Open to relocating
Commitment
Full-time, Casual / Contract / Part-time, Join as a startup co-founder, Internship
Availability from time of offer
Immediately
Years of experience
1-2 years
Top 3 languages or frameworks
SQL, AWS, Python3
Also knows
Azure, C++, CDK, css, Docker, FastAPI, React, S3, Tableau
Preferred work environment
Hybrid, Fully remote, In the office
Strengths
My key strengths are data analysis, problem-solving, SQL and Python, Power BI, cloud data engineering, and translating business requirements into practical technical solutions. I'm also comfortable working with both technical and non-technical stakeholders.

Companies should hire me for Data Analyst, Data Engineer, BI and Technical Business Analyst roles. I do my best work when I can understand a business problem, work with the data, improve processes and build reliable solutions that help people make better decisions.
Interested in working involving
I'm looking for a role where I can apply my data and technical skills to real business problems, continue learning, and take ownership of meaningful work. I'm particularly interested in opportunities where I can work with stakeholders, improve processes and build reliable data solutions.

I'm particularly interested in Data Analyst, Data Engineer, BI and Technical Business Analyst roles. I'm open to different industries, with a particular interest in technology, financial services, government, healthcare, energy and organisations where data can improve services and decision-making.
Not interested in work involving

Gambling or Alcohol Companies

Other information
I’m someone who learns quickly, takes ownership and enjoys solving problems that have a real business impact. I’m open to different industries and locations across Australia, and I’m keen to contribute while continuing to grow technically and professionally.
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia

Pay expectations

Full-time
$
50000
per year
Casual / Contract
$
30
per hour
Pay is negotiable in exchange for equity
Pay is negotiable in exchange for equity
Pay is not negotiable in exchange for equity
Open to equity only roles
Not open to equity only roles

Referred by

  •  

Work experience

Proudest professional achievement
At a global financial services company, I diagnosed and resolved a critical data pipeline failure that had been blocking investment research data provider ingestion for months. I traced the issue through the AWS pipeline, identified an S3 event notification limit caused by accumulated historical files, and restored the pipeline. This strengthened my ability to troubleshoot complex data systems and solve problems end-to-end.
Data Analyst with 2+ years of experience across data analytics, data engineering and financial services. Experienced in SQL, Python, Power BI, AWS, Azure, ETL and data modelling, with roles at a global financial services company and a technology company. Also experienced in government and customer-facing environments through a national statistics bureau and a retail convenience store chain.

Education

Master of Data Science, Monash University, Australia. Bachelor of Information Technology, Vasavi College of Engineering, India.
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