1. Asynchronous API Ingestion
Catalyst is built to absorb network chaos. It autonomously extracts JSON payloads from a complex web of external APIs, including Google Ads, Meta, Salesforce, and HubSpot.
Autonomous Data Engine
High-performance compute.
Total data sovereignty.
=^..^=
Catalyst is a single-tenant data engine engineered to process complex telemetry at scale. By decoupling stateless compute from long-term storage, it delivers deterministic performance, self-healing orchestration, and complete architectural ownership.
Scale your data, not your compute bill.
Scaling a traditional, coupled data warehouse usually means skyrocketing cloud costs. Managed SaaS vendors charge extra for every new API connector. They force you to keep massive compute clusters idling 24/7 just to access your historical data. On top of the bloat, standard pipelines remain highly fragile, often breaking under network microbursts and API rate limits.
Catalyst resolves this through first-principles engineering. By isolating the expensive heavy lifting to out-of-core tools and routing the final outputs to your existing cloud storage, you get the speed of a dedicated server with the infinite scale of a hyperscaler.
Architecture
Decoupled & Deterministic.
I build the engine. You own the metal. Catalyst operates as a stateless processing node that sits between your raw data and your semantic layer.
2. Stateless Compute
Orchestrated by Dagster and powered by Polars. Millions of rows are vectorized and transformed entirely in-memory within a secure, containerized Docker environment, insulated by a Tailscale VPN and LUKS Full Disk Encryption. Once the daily partition is processed, it wipes its memory clean.
3. Bring Your Own Cloud
Processed data is natively serialized into heavily compressed, partitioned
.parquet files and routed directly into your Google Cloud Storage, AWS S3, BigQuery, or Snowflake instances. You own the storage; you own the data.
4. Bring Your Own BI-Tool
With your data securely resting in a storage layer, it is served via a standard SQL interface directly to your frontend. Whether your team operates in Looker Studio, Tableau, or Power BI, Catalyst is built to plug into a variety of BI Tools.
Flagship Implementation:
Catalyst MarTech Suite
To demonstrate the payload capacity of the Compute Engine, I built a fully autonomous, B2B multi-channel reporting suite. It bypasses off-the-shelf SaaS connectors to prove that this architecture can gracefully digest the chaos of multiple ad network APIs and output crystal clear, AI-augmented signals.
True Multi-Channel Attribution
Orchestrating data natively from Google Ads, Meta, LinkedIn, Reddit, TikTok, and OpenAI to unify the entire spectrum; from the first top-of-funnel impression to the final CRM pipeline conversion.
VertexAI Executive Synthesis
Dashboards show you what happened; Catalyst tells you why. Gemini (VertexAI) is integrated natively into the pipeline to read the data and generate clear, narrative executive summaries alongside the charts.
B2B Audience & Geo Intelligence
The suite isolates specific B2B roles (CRO, CEO, Procurement) and visualizes regional geographic hotspots so media teams can concentrate spend where it matters most.
Creative & Search Mapping
The engine maps exact creative assets (UGC, Video, Static) and exact Google Search Console queries directly to pipeline generation, providing strategists with empirical data to iterate on.
Engagement Model
I build it. You own it.
Whether you need a dedicated data warehouse, custom engineering for your startup, or complex event processing, the deployment process is identical.
Audit
I review your current telemetry, API bottlenecks, and infrastructure targets to ensure complete platform coverage.
Deployment
I provision your dedicated bare-metal environment, establish the Tailscale mesh, and compile the out-of-core orchestrator.
Handoff
I deliver a deterministic, self-healing data pipeline. I maintain the architecture; your engineers build on top of it.