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Ajete Isaku

@ajeteisaku

Data Engineer specializing in Azure/Databricks medallion architectures, governed pipelines, and AI-ready analytics.

Kosovo
Message

What I'm looking for

I’m open to remote data engineering roles where I can build governed, AI-ready pipelines, strengthen data quality and governance, and help high-impact teams deliver trusted insights with engineering precision and strategic thinking.

I build governed, end-to-end data solutions that help organizations move from raw datasets to trusted, business-ready insights. At Genpact, I design and deploy Azure-based medallion pipelines (Bronze/Silver/Gold) using Databricks, Delta Live Tables, Apache Spark, and Auto Loader to support scalable data ingestion across enterprise environments.

I also focus on making data usable—by adding strong governance and usability layers. I integrated an AI-powered Metadata Governance Platform that combines Genie Space conversational analytics with trusted data access, accelerating time-to-insight while enabling business users to query reliable data assets.

Previously at Deloitte, I delivered ETL and SQL-based data workflows, automated reporting with SQL, Python, and BI tools, and supported high-pressure client engagements across multiple industries. My mission is simple: show up fully, learn relentlessly, build with integrity, and raise the bar for my team—open to remote data engineering roles where I can contribute to high-impact teams.

Experience

Work history, roles, and key accomplishments

GE
Current

Data Engineer

Genpact

Jan 2024 - Present (2 years 6 months)

Designed and deployed end-to-end medallion (Bronze/Silver/Gold) data pipelines on Azure using Databricks, Delta Live Tables, Apache Spark, and Auto Loader to enable scalable, governed ingestion. Implemented AI-powered metadata governance integrating Genie Space for natural-language conversational analytics and enforced data quality and Unity Catalog controls using dbt.

DE

Data Consultant

Deloitte

Jan 2022 - Jan 2024 (2 years)

Built and maintained ETL pipelines and SQL-based data workflows for enterprise clients, transforming raw datasets into clean, structured data. Delivered consulting engagements by gathering requirements and presenting insights to senior stakeholders, automating reporting with SQL and Python and using BI tools to improve accuracy and reduce manual effort.

MK

Data Engineer

MIS ProCredit Bank Kosova

Jan 2020 - Jan 2021 (1 year)

Developed business intelligence dashboards and financial reports in a regulated banking environment, translating transactional data into insights for management and compliance. Built and maintained SQL queries and data models for risk reporting, financial performance tracking, and audit workflows to support data accuracy.

Education

Degrees, certifications, and relevant coursework

UP

University of Prishtina

Master of Science, Data Science & Artificial Intelligence

MSc in Data Science & Artificial Intelligence with specialization in machine learning, AI systems, and large-scale data engineering. Research-driven program combining statistical foundations with applied AI across cloud data platforms, governance, and analytics pipelines.

UP

University of Prishtina

Bachelor of Science, Financial Mathematics in Banking

BSc in Financial Mathematics in Banking with applied quantitative coursework in probability theory, stochastic processes, financial modeling, and risk analysis. Built a foundation for translating mathematical models into data-driven insights for banking, insurance, and fintech contexts.

Tech stack

Software and tools used professionally

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