Your quarterly LP pack, delivered in days instead of weeks. Built by a former EY auditor with a background in JLL real estate accounting - now specializing in Data Engineering and Power BI automation for real estate fund operations.
Trusted by fund managers overseeing 50+ assets across 10+ fund vehicles.
Purpose-built BI automation for mid-market PE and real estate fund operations - from daily cash monitoring to quarterly board packs.
Real-time visibility into cash positions, owners' costs, and bank loan exposure — across entities and jurisdictions. Daily-refresh dashboards connected to treasury systems, accounting platforms, and lending data via API.
Automated IRR, MOIC, TVPI, and DPI calculations built on a robust data model — handling complex ownership structures, multi-level waterfalls, and cross-currency returns across fund vehicles.
Comprehensive portfolio dashboards for board meetings, annual investor presentations, and PPM support. Consolidating rent rolls, financial KPIs, asset data, and ESG metrics into a single reporting layer.
Multi-country chart of accounts mapping, automated data pipelines via Azure Data Factory, and standardized data models from fragmented sources — Excel uploads, API feeds, and property management systems.
If any of these feel familiar, you're leaving days on the table every quarter.
Your team spends weeks every quarter manually assembling LP packs across Excel, email, and shared drives - and it still ships late.
Five vehicles, three currencies, two jurisdictions - and a single analyst stitching it together in a spreadsheet. Every quarter is a controlled accident.
Cash positions are in the treasury system. Cost data sits in the accounting platform. Loan covenants live in a spreadsheet someone maintains manually. Between quarterly cycles, there's no single view of the operational metrics that actually drive fund performance - and no way to get one without someone building a report from scratch.
These problems don't get solved with another spreadsheet, a six-month consulting engagement, or off-the-shelf software that doesn't understand your fund structures. They get solved with a purpose-built reporting layer - designed around how your business actually operates.
Let's talk about what's slowing your reporting cycle down — and what it would take to fix it.
Book a 30-Minute Discovery CallEvery engagement follows a proven four-phase approach — designed for institutional confidence.
Audit your current reporting workflow, data sources, fund structures, and LP requirements. Identify the highest-impact automation opportunities.
Design and develop your database and Power BI data model, DAX measures, and automated data pipelines — tailored to your specific fund structures.
Roll out to Power BI Service with scheduled refresh, row-level security for LP access, and integration with your existing data ecosystem.
Full documentation, team training, and knowledge transfer. Your team owns the solution. Optional retainer for ongoing support and iteration.
ERPs, bank feeds, treasury platforms, investor portals — consolidated into a governed data layer and automated reporting output.
I'm Adam - a BI and Data Engineering specialist based in Poland, serving institutional clients across Europe on a contract basis.
I started in audit at EY and real estate accounting at JLL before moving into BI and data automation. That finance-first background means I don't just build dashboards - I understand the numbers behind them, why they matter to your board, and how they flow through your fund structures.
Today I lead automation and reporting projects for private equity and real estate fund managers. I've built the systems that track daily cash flows across 400+ bank accounts, unify and connect charts of accounts from multiple countries, and calculate multi-level returns across complex ownership structures. When I build a data model, it reflects how your fund actually works - not a generic template from a consulting deck.
Selected projects from an integrated fund reporting and automation platform spanning multiple countries and data sources. Details anonymized.
Built a centralized cash monitoring tool connected to the treasury system via API, aggregating daily cash flows across the holding structure. Entities not on API deliver monthly via standardized uploads. Fully automated refresh — no manual data entry.
Designed and built a returns calculation engine handling complex ownership structures with multiple equity layers. Methodology-driven IRR, MOIC, and equity waterfall logic — automated from a structured database, replacing fragile spreadsheet models.
Built a comprehensive portfolio dashboard for board meetings and investor presentations — seven key pages spanning asset performance, returns, financial KPIs, and ESG. Pulls from nearly all fund data sources into a single, comprehensive Power BI model.
Created an owner's cost reporting tool mapping 9-10 country-level charts of accounts to a unified CoA. Mixed data ingestion — API-connected entities refresh daily, others upload via a standardized landing page monthly.
Designed the standardized rent roll template (40-50 columns) adopted across the portfolio, then built the Power BI layer on top — occupancy, WAULT, NOI, and lease-level analytics for the asset management team.
Built a bank loan monitoring tool integrated with the hedging and debt management platform, providing detailed visibility into loan terms, drawdowns, covenants, and maturities across the entire asset portfolio.
Whether you're drowning in quarterly reporting, planning a BI migration, or just exploring what automation could look like for your fund - I'm happy to have a no-obligation conversation.
I'll get back to you within 24 hours.