PYTHON APPS · AUTOMATION · DATA · APIs
I build Python applications that remove repetitive work.
I help businesses replace fragile spreadsheets, manual reporting, and repetitive workflows with reliable Python applications and automation.
Available for selected projects
report_pipeline.py
RUNNING
01 Collect source files
12 files
02 Validate + transform
500k rows
03 Deliver verified report
complete
120+
hours automated · SAMPLE
500k+
rows processed · SAMPLE
99.8%
successful runs · SAMPLE
BUILT FOR
FINANCE / 01
SAAS / 02
COMMERCE / 03
OPERATIONS / 04
DATA TEAMS / 05
SERVICES / WHERE WORK DISAPPEARS
Each engagement starts with the workflow: what enters, what decisions happen, where exceptions appear, and what a reliable output looks like.
01 / XLSX
Excel Automation
Problem: repeated copying, mismatched columns, fragile formulas.
Outcome: validated, repeatable reporting.
Python · Pandas · openpyxl →
02 / DATA
Data Processing
Problem: inconsistent sources, slow joins, unclear exceptions.
Outcome: clean, reviewable datasets.
Python · SQL · Pandas →
03 / API
API Integrations
Problem: disconnected tools and repeated exports.
Outcome: dependable data movement.
REST · FastAPI · OAuth →
04 / WEB
Web Scraping
Problem: public information checked manually and discovered late.
Outcome: respectful monitoring and change logs.
Playwright · HTTPX · SQL →
05 / AI
AI Workflows
Problem: unstructured documents and repetitive triage.
Outcome: supervised, auditable assistance.
AI APIs · Pydantic · queues →
06 / TOOL
Custom Python Applications
Problem: a recurring task does not fit off-the-shelf software.
Outcome: a focused tool your team understands.
Python · Docker · Git →
SAMPLE CASE STUDIES / REPLACE ALL RESULTS
Excel Automation
Sample Case Study — Reconciled Excel Reporting
Monthly reports arrived in inconsistent workbooks and required hours of manual copying, checking, and reconciliation.
14 files merged
Python · Pandas · Excel
API Integrations
Sample Case Study — API-to-Report Pipeline
A team repeatedly exported platform data, reformatted it, and rebuilt the same weekly management report.
3 sources connected
Python · REST API · SQL
Web Scraping
Sample Case Study — Pricing Change Monitor
Offer and pricing changes across selected public pages were checked manually and often discovered too late.
240 pages monitored
Python · Playwright · SQL
BEFORE / MANUAL
Manual copying
Inconsistent files
Repeated errors
Delayed reporting
AFTER / SYSTEM
Automated workflow
Validated data
Scheduled processing
Clear output
01
Discovery
Deliverable: decision brief. Scope: goals, constraints, owners, and success criteria.
02
Workflow Audit
Deliverable: process map. Scope: inputs, rules, exceptions, security, and handoffs.
03
Build and Test
Deliverable: tested increments. Scope: implementation, logs, validation, and review.
04
Delivery and Support
Deliverable: documented handover. Scope: deployment, training, and support options.
PYTHON
PANDAS
FASTAPI
PLAYWRIGHT
SQL
EXCEL
REST APIs
DOCKER
GIT
AI APIs
REPLACE WITH YOUR PROFESSIONAL PROFILE PHOTO
ABOUT / REPLACE THIS SAMPLE PROFILE
Sample profile: I work with teams that have outgrown manual spreadsheets, repeated exports, and one-person processes. My approach is to make the workflow understandable first, then build only the automation the business can operate and maintain.
LOCATION
Warsaw · CET/CEST · SAMPLE
LANGUAGES
English · Polish · SAMPLE
SPECIALIZATION
Python Apps · Automation · Data · APIs
AVAILABILITY
Selected projects · SAMPLE
Replace with a real client testimonial.
Client name · role · company
Replace with a verified outcome and client perspective.
Client name · role · company
Replace with a real client testimonial.
Client name · role · company
Data Quality
Why comparing Excel files is harder than Git diff
Spreadsheets hide structural and semantic differences that a simple cell-by-cell comparison cannot explain.
6 min
Automation
When Python automation is worth building
A useful automation target is repeated, rule-based, costly enough to matter, and stable enough to maintain.
5 min
Reporting
Five warning signs your reporting process needs automation
Repeated corrections, version confusion, manual joins, late delivery, and one-person dependency are operational signals.
7 min
What kinds of processes can be automated?
Repeated, rule-based workflows with clear inputs, decisions, exceptions, and outputs are the best candidates. A workflow audit determines whether automation is justified.
Can you work with existing Excel files?
Yes. Existing workbooks can remain part of the workflow when they are the right interface. The system can validate, consolidate, and generate them more reliably.
Do you build one-off tools or maintained systems?
Both. The delivery model should reflect business criticality, change frequency, ownership, and the level of support the process requires.
How long does a typical project take?
Small, well-defined automations may take days; multi-system workflows take longer. A discovery phase produces a realistic scope and delivery plan.
Can you work with confidential data?
Security, access, retention, and processing constraints should be agreed before data is shared. Replace this sample answer with your actual policies and agreements.
What happens after delivery?
Delivery includes agreed documentation and handover. Ongoing support, monitoring, and improvement can be scoped where the system needs active ownership.
START A PROJECT
Share the current process, the recurring cost, and what a successful outcome would change. Do not send confidential data through this sample form.
hello@example.com
LinkedIn · GitHub
Warsaw · CET/CEST
Available for selected projects
Expected response: 2 business days