We build fast, cost-effective data infrastructures using Google Cloud. Transform your scattered data silos into centralized, automated pipelines designed for real-time decision-making.
As your company grows, manual data extraction and fragmented reporting eventually hit a wall. We help organizations replace inefficient data tracking with modern, serverless architectures that deliver trustworthy insights.
Your team loses hours every week downloading reports from CRMs, ERPs, and ad platforms.
Queries and dashboards take forever to load because your data isn't structured or indexed for analytical workloads.
We help businesses evaluate, size, and optimize their data stacks to ensure they only pay for the computing power they truly need.
Strategic decisions are consistently being made based on last week's numbers, not today's live reality.
At Cooltimedia, we design modern data ecosystems that transform raw data into actionable insights. Whether leveraging Google Cloud, MotherDuck, Microsoft Azure, AWS, or other leading cloud platforms, we build scalable, high-performance data solutions tailored to your business goals.
We build modern analytics platforms capable of processing large volumes of data in seconds. Using technologies such as MotherDuck, DuckDB, BigQuery, and other high-performance analytics engines, your dashboards remain responsive even as your data grows.
Whether your organization processes thousands or billions of records, we design cloud-native data architectures that scale effortlessly. We work with Google Cloud, Microsoft Azure, AWS, BigQuery, Snowflake, and other leading platforms to deliver secure and cost-effective solutions.
Our automated data workflows continuously extract, validate, transform, and load information from multiple sources. Intelligent monitoring and alerting help detect integration issues, API changes, or data quality problems before they impact your business.
Centralizing Shopify/WooCommerce data, multi-channel marketing spend (Facebook/Google Ads), and inventory logs into a single BigQuery warehouse for unified ROI metrics.
Building customer behavior telemetry pipelines and loading them into MotherDuck to feed internal product usage dashboards with ultra-low latency.
Automating continuous transaction reconciliation pipelines, pulling data from multiple banking gateways, and cleaning it automatically before live auditing.
Centralizing fragmented data from Marketing, CRM, and POS systems into a Single Source of Truth. We build automated data loops to reconcile sales, costs, and inventory, providing a 360-degree view of your entire business performance.
We combine software engineering, data infrastructure, automation, and cloud technologies to help organizations build reliable systems that solve real business problems.
We start with your business goals, workflows, and operational challenges before recommending any technology.
We design solutions around what fits your organization best, whether that means Google Cloud, Azure, AWS, MotherDuck, or other modern platforms.
From architecture and development to integration, automation, deployment, and support, we help you move from idea to production.
We create scalable, maintainable systems that can evolve as your data, users, integrations, and business needs grow.
MotherDuck extends DuckDB into the cloud. It is a highly optimized columnar database designed for analytical queries that allows us to process millions of rows in milliseconds. We use it because it eliminates the massive infrastructure overhead, compute management, and excessive costs associated with platforms like Snowflake or Redshift for medium-sized data operations.
Yes. We specialize in building custom ETL/ELT pipelines and ingestion workers to pull data from any system that exposes a REST or GraphQL API, centralizing everything into your secure cloud data warehouse.
We implement automated data quality and validation steps directly inside our transformation pipelines. If a source API sends corrupted, duplicated, or missing values, the pipeline isolates the bad records and alerts us immediately, preventing broken metrics from polluting your live production reports.
This is where Data Engineering delivers the highest value. We connect your isolated websites, CRMs, and operational tools into a single warehouse. This allows you to track cause-and-effect across your entire business—such as how a specific digital platform update directly impacts customer retention or inventory levels.
We engineer the entire pipeline, from raw data extraction to the final visual layer. Once your data is centralized and cleaned in BigQuery or MotherDuck, we connect it to modern Business Intelligence tools (like Looker Studio or Power BI) to deliver clean, interactive, and automated dashboards for your executive team.
Security is built into every pipeline we design. We utilize enterprise-grade encryption (SSL/TLS) for data in transit, implement strict API authentication protocols, and apply Role-Based Access Control (RBAC) within the data warehouse to ensure sensitive information is only accessible to authorized team members.
Whether you need to untangle complex data or build a high-performance web platform, I'm ready to help. No complex forms, just a direct conversation about your business goals.