Real results from
real builds
Data warehouses, pipelines, dashboards, and AI integrations built for companies across industries. Here is what we shipped and what it did for the business.
Salesforce CRM dashboard and automation for an enterprise SaaS marketing team
Profisee's marketing team was working across disconnected tools with no unified view of lead activity, intent signals, or pipeline attribution. Campaign performance data lived in spreadsheets, CRM records were outdated, and the team lacked visibility into which channels were actually driving qualified pipeline.
We built a centralized Salesforce CRM dashboard with automated data flows that pulled in lead scoring, intent signals from multiple platforms, and campaign attribution data. Custom automations flagged high-intent accounts in real time and routed them to the right reps. The marketing team could finally see exactly which efforts were converting and double down accordingly.
Data warehouse and financial reporting for a legal services firm
TOVA handled complex QDRO and retirement valuation cases that involved intricate financial calculations across multiple systems. Client data was split between Lawmatics (their legal CRM), Zoho CRM for marketing, and Quickbooks for billing. Intake was manual, slow, and error-prone, meaning the team was leaving revenue on the table from delayed onboarding.
We built a data warehouse in Google BigQuery that integrated all three systems through Python-based ETL pipelines. The real complexity was in the business logic: multi-step financial calculations for retirement valuations, case status tracking across systems, and revenue attribution by case type. We delivered reporting dashboards that gave leadership clear visibility into pipeline health, case margins, and onboarding bottlenecks.
Real-time inventory dashboard and sales analytics for a golf cart wholesaler
X-iT Outdoors' sales team was operating with stale inventory data and no reliable view of what was actually in stock across warehouses. Product data came from Shopify, site analytics from Google Analytics, and financials from internal systems. The biggest headache was data quality: much of the input involved manual entry from the client's team, leading to inconsistencies that made reporting unreliable.
We built a data pipeline using Python and SQL that pulled from Shopify, Google Analytics, and the internal financial system on a daily basis, processing GBs of transaction and inventory data. A core focus was data quality: validation rules, deduplication logic, and automated flagging of anomalies from manual entry. The end result was a real-time inventory dashboard the sales team used daily to see exactly what was available, what was selling, and where margins were strongest.
Centralized intelligence platform for an aircraft leasing company
Azorra manages a fleet of leased aircraft across global markets, and their team needed a single source of truth that brought together flight tracking data, aviation industry news, CRM records, and internal team updates. Information was scattered across systems, making it difficult to act quickly on fleet decisions, market shifts, or client opportunities.
We built a centralized data infrastructure system that integrated live flight tracking feeds, aviation news APIs, CRM data, and internal collaboration tools into one unified repository. The platform enabled real-time intelligence analysis, giving the team a consolidated view of fleet status, market conditions, and client activity in a single interface. Decision-makers could spot trends, risks, and opportunities without switching between five different tools.
AI-powered lead generation pipeline for a staffing firm
Eagle Search US needed to scale their outbound lead generation beyond manual prospecting. Lead data was fragmented across Apollo, LinkedIn, and other B2B sources with no consistent way to score, segment, or personalize outreach. The sales team was spending more time on data wrangling than actual selling.
We built an end-to-end lead generation data pipeline that aggregated B2B lead data from Apollo, LinkedIn, and other sources into a clean, deduplicated database. On top of that, we integrated an AI intelligence layer that automatically analyzed, scored, and segmented leads based on fit criteria. The system generated personalized outreach messaging for each segment and fed directly into their marketing campaign tools for automated execution.
And many more across industries
Healthcare, fintech, real estate, logistics, manufacturing. If you have data in multiple systems and need it unified, analyzed, and actionable, we have done it before.
Book a Strategy CallWhat past clients think
“John was an amazing resource and partner. His strong expertise, understanding of our business need, and communication skills resulted in a successful execution and completion of our project.”
Verified Client
“Lots of skill and easy to work with.”
Verified Client
“John got to grips with what we needed quickly and we're happy with the final result. He was helpful with troubleshooting and a great communicator throughout.”
Verified Client