Jakub Durczok.
Lead Software Engineer — Data & AI
Lead Software Engineer building and leading teams that deliver scalable data, ML, and AI products used across 30+ global markets by a Fortune 50 FMCG leader.
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About Me
Lead Software Engineer building and leading teams that deliver scalable data, ML, and AI products used across 30+ global markets by a Fortune 50 FMCG leader. Core backend expertise in Python, Spark, SQL, and Azure with deep knowledge of Django, PostgreSQL, REST APIs, and distributed systems.
I hold a Master’s degree (summa cum laude, ranked first in class) in Advanced Analytics — Big Data from SGH Warsaw School of Economics.
Technologies I work with:
Python
PySpark / Databricks
Django
PostgreSQL
Azure
Docker
LangGraph / RAG
Kedro
GitHub Actions
Terraform
Redis
Kafka
Kubernetes
Airflow
Streamlit
Experience
Lead Software Engineer — Data & AI
October 2025 — Present
- Built an engineering platform covering 130 customers and terabytes of data by designing a SOLID-based connector architecture on Databricks and Kedro with strategy pattern for SAP, Oracle, and PostgreSQL.
- Unified schema management across 5 backends (Unity Catalog / Local / Memory / Oracle / PostgreSQL) by developing a database schema abstraction layer in Python with time-travel queries and SCD 2 logic.
- Engineered a “code chain” library with guaranteed O(n) time complexity by building a REST API server and NetworkX DAG engine to transform and process product code changes for time series ML in Python.
- Cut weekly effort by 12 hours across 7 projects by building an agentic AI app on Django and LangGraph; benchmarked 4 LLMs across 3 retrieval datasets and 3 vector stores (Chroma, PostgreSQL, FAISS) to optimize a RAG pipeline integrated with Jira and ServiceNow APIs for ticket analysis and knowledge base management.
- Achieved >$200,000/year in savings by building an insourced engineering team and deploying an autonomous L1 support agent on LangGraph that monitors Databricks jobs, diagnoses failures, and escalates via Teams.
- Led the company-wide migration of Azure email auth from SMTP to OAuth 2.0 for a shared ML/DE framework used by hundreds of engineers across hundreds of projects by refactoring the core notification module and coordinating rollout.
Software Engineer — Data
October 2022 — September 2025
- Scaled a demand-forecasting ML product from 30 to 110 customers while improving reliability to 100% by optimizing Spark pipelines in Python/PySpark and implementing MLOps and CI/CD gates.
- Saved 6 FTEs of operations effort by developing a distributed Django web app in Python with custom concurrency controls and Redis caching to prevent race conditions.
- Cut I/O-bound SAP API latency by 90% by building a Python SDK for concurrent data retrieval and async processing.
Engineer — Salesforce
July 2022 — September 2022
- Delivered a CRM system MVP in 3 months on Salesforce for a car dealership by configuring end-to-end vehicle, client, and repair tracking workflows.
Wiktor Kos Consulting
Engineer — SAP HCM
June 2021 — June 2022
- Delivered zero-defect payroll for 10,000+ employees across Germany, Austria, and Switzerland and de-risked a multi-million euro SAP S/4HANA migration by building a custom ABAP master data validation tailored to client’s needs.
Education
Master of Arts, Advanced Analytics — Big Data
October 2023 — July 2025
GPA: 4.96 / 5.0
Summa cum laude
Coursework: Python, R, C++, Real-Time Analytics (PySpark, Spark Structured Streaming, Docker, Flask), Database Systems (SQL, PL/SQL), Data Visualisation (R, Shiny, Power BI), Credit Scoring (SAS).
Bachelor of Arts, Quantitative Methods in Economics and IT
October 2020 — July 2023
GPA: 4.95 / 5.0
Summa cum laude | Ranked First in Class
Coursework: Statistical Methods, Database Systems (SQL Developer), Econometrics, Operational Research.
Projects
Languages
English
C2 — Proficient
German
C2 — Proficient
Polish
Native