Julian Jankovic

• Sound knowledge of excel and VBA automation creation to automate manual processes
• Hands on DAX - PowerBI/Power Query development - Collating spreadsheets on dashboards for downstream users functions (SSRS knowledge insights, and a strong commitment to become hands on)
• Team management and stakeholder management to develop a plan, priority and technical specifications
• Ability to troubleshoot, debug and develop solutions independently and within a team
• Communication and relay to deadlines, and hurdles that arise from technical issues
• Team contribution and commitment
• Flexible worker that communicates with international employees, often after hours and on a needs basis
• Documentation and step by step playbook writing for reference.
• Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.

• Monitoring, supporting and continuously developing 200+ pipelines via toolsets: (Arturo, Argo, AWS S3, EC2, Glue, Spark, Kafka)
• Dataiku python scripting experience - started for automation of processes and alerts
• Experience with data flow monitoring services (Apache Airflow, MCP)
• Familiar with protocols to make changes include PROD change requests, PVT Testing, UAT, roll back plans and documentation during all project stages (JIRA, Bamboo, Confluence, BitBucket/Stashbucket, GIT)
• Strong communicator between stakeholders, engineers and downstream consumers
• Understanding consumer issuers and organizing enhancement framework, as well as implementation
• Skillsets and analytics mindset that helps succeed with debugging, investigation and providing improvements to pipeline failures and strong communication downstream to consumers
• Daily contribution to stand up meetings, scrums, 1on1 meetings and general new process kick start sessions
• Flexible worker that communicates with international Macquarie employees, often after hours and on a needs basis.

• Proficient SAP Hana user, and Master Data cloud migration
• Created SQL data tables for a production environment
• Performed consistent maintenance and management on database
• SQL database querying and migration (ETL - SSIS dominant with strong knowledge using Python)
• Familiarity with Azure DevOps and similar cloud based ETL tools (AWS)
• Familiar with data warehousing concepts and dynamic learning of new concepts in data (Automation and AI based coding)
• Understanding complex/big data strategies

Secondary Roles

• Troubleshooting systems
• PowerBI data presentation (Also familiar with Tableu)
• Basic knowledge and use of Mechanical/Electrical tooling (Elec: Oscilloscopes, Multimeters, measurement etc)
• Hands On/On Site availability with strong discipline and work ethic
• Responsible Working From Home diligence if needed
• General IT setup; printers, PC's, network connectivity, software installation
• Created spreadsheets using Microsoft Excel for daily, weekly and monthly reporting.