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My career began with a focus on Python, because it is the leading language for artificial intelligence and data science. Along the way, I discovered its versatility and applied it to a wide range of projects, like developing mobile applications with Kivy, automating workflows with Selenium, creating websites with Flask and Django, and building APIs with FastAPI. Over time, my work expanded into data engineering, where I have designed and implemented ETL pipelines using Amazon Web Services (AWS), Python, and Apache Spark (PySpark) to process, transform, and deliver data for analytics and business insights. Beyond work, I hold close the words of Gandhi: “Whatever you do will be insignificant, but it is very important that you do it.”…My career began with a focus on Python, because it is the leading language for artificial intelligence and data science. Along the way, I discovered its versatility and applied it to a wide range of projects, like developing mobile applications with Kivy, automating workflows with Selenium, creating websites with Flask and Django, and building APIs with FastAPI. Over time, my work expanded into data engineering, where I have designed and implemented ETL pipelines using Amazon Web Services (AWS), Python, and Apache Spark (PySpark) to process, transform, and deliver data for analytics and business insights. Beyond work, I hold close the words of Gandhi: “Whatever you do will be insignificant, but it is very important that you do it.”

Petar Luketina

Data Analyst, Data Scientist, Back-End Developer, +2

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My career began with a focus on Python, because it is the leading language for artificial intelligence and data science. Along the way, I discovered its versatility and applied it to a wide range of projects, like developing mobile applications with Kivy, automating workflows with Selenium, creating websites with Flask and Django, and building APIs with FastAPI. Over time, my work expanded into data engineering, where I have designed and implemented ETL pipelines using Amazon Web Services (AWS), Python, and Apache Spark (PySpark) to process, transform, and deliver data for analytics and business insights. Beyond work, I hold close the words of Gandhi: “Whatever you do will be insignificant, but it is very important that you do it.”…My career began with a focus on Python, because it is the leading language for artificial intelligence and data science. Along the way, I discovered its versatility and applied it to a wide range of projects, like developing mobile applications with Kivy, automating workflows with Selenium, creating websites with Flask and Django, and building APIs with FastAPI. Over time, my work expanded into data engineering, where I have designed and implemented ETL pipelines using Amazon Web Services (AWS), Python, and Apache Spark (PySpark) to process, transform, and deliver data for analytics and business insights. Beyond work, I hold close the words of Gandhi: “Whatever you do will be insignificant, but it is very important that you do it.”

Available to hire

My career began with a focus on Python, because it is the leading language for artificial intelligence and data science. Along the way, I discovered its versatility and applied it to a wide range of projects, like developing mobile applications with Kivy, automating workflows with Selenium, creating websites with Flask and Django, and building APIs with FastAPI.

Over time, my work expanded into data engineering, where I have designed and implemented ETL pipelines using Amazon Web Services (AWS), Python, and Apache Spark (PySpark) to process, transform, and deliver data for analytics and business insights.

Beyond work, I hold close the words of Gandhi: “Whatever you do will be insignificant, but it is very important that you do it.”

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Analyst at Jenius Bank

August 1, 2023 - Present

Built decoupled ETL processes for UI web browser data extraction and deliveries using Python. Implemented automated load logs for data provenance ensuring auditability of all file transfers and transformations. Implemented automated job scheduling to run pipelines during off-hours, saving hundreds of manual work hours annually. Created automated reports and dashboards (Excel, Microsoft Forms, Looker Studio via Power Automate) to monitor client performance, quality control, and team productivity.

Data Engineer at AnalyticsIQ

June 1, 2021 - August 1, 2023

Built & maintained an enterprise-level FastAPI service in Python to retrieve records from a MongoDB dataset of 250M+ U.S. individuals with 99% uptime SLA. Developed AWS Lambda functions & AWS Glue jobs with CI/CD pipelines, including automated testing & deployments. Orchestrated end-to-end ETL DAGs in Apache NiFi, processing terabyte-scale datasets & writing PySpark transformations. Created agentic workflows with AWS Bedrock & LangChain for dynamic web navigation & messy-schema normalization. Delivered client datasets via Snowflake & authored reusable ETL utilities to standardize loads.

Senior Data Analyst at Visa Mentor

September 1, 2020 - June 1, 2021

Owned & scaled a revenue-critical reporting suite supporting $1.1M+ in annual revenue; delivered releases & trained stakeholders. Streamlined automation workflows & standardized processes to increase efficiency & reduce manual error in recurring operations. Mentored junior analysts in Python & PySpark best practices, improving code readability & maintainability.

Data Analyst at Visa Mentor

August 1, 2019 - September 1, 2020

Automated 23 standardized report pipelines delivered to 190+ clients & executives, replacing manual builds & saving hundreds of hours per month. Built BI dashboards that answered key business questions across 8M+ daily consumer transactions. Tracked product health by monitoring data-quality & performance KPIs; investigated anomalies & communicated findings.

Technical Services Specialist at Visa Mentor

June 1, 2018 - August 1, 2019

Supported an API by answering ~55 monthly requests, resulting in ~30% of all tickets closed on a 6-person team. Created self-serviceable reports for technical & lay users which mitigated dozens of monthly internal requests. Assisted with onboarding clients to Visa’s authentication solution, yielding millions of dollars of yearly revenue.

IT Support Specialist at Coast to Coast Equipment

November 1, 2017 - June 1, 2018

Designed & coded UI/UX changes to the company website consistent with responsive web design trends. Recorded, executed, & managed manual & automated Quality Assurance test cases. Administered permissions, group policy, & account provisioning on various business platforms, including Microsoft 365, Amazon Business, Ring Central, & Dropbox.

TEFL Educator at Peace Corps

June 1, 2015 - August 1, 2017

Founded Manalalondo’s first public library & equipped it with over 1,000 American books. Taught the US equivalent of 10th & 11th grade with an average class size of ~50. Readied the senior class for the national examination with nearly a 90% pass rating in the English portion.