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I am a results-driven data engineer with 10 years of experience in data warehousing, analytics, and data science. I specialize in building scalable data platforms, optimizing pipelines, and translating business needs into impactful applications. My industry experience spans financial services, healthcare, and blockchain, and I have a proven track record turning complex data into clear, actionable insights. I enjoy mentoring engineers and collaborating across product, finance, and operations to drive better decisions.…I am a results-driven data engineer with 10 years of experience in data warehousing, analytics, and data science. I specialize in building scalable data platforms, optimizing pipelines, and translating business needs into impactful applications. My industry experience spans financial services, healthcare, and blockchain, and I have a proven track record turning complex data into clear, actionable insights. I enjoy mentoring engineers and collaborating across product, finance, and operations to drive better decisions.

Jay Mart Cano

Data Scientist, Data Analyst, Full Stack Developer, +2

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I am a results-driven data engineer with 10 years of experience in data warehousing, analytics, and data science. I specialize in building scalable data platforms, optimizing pipelines, and translating business needs into impactful applications. My industry experience spans financial services, healthcare, and blockchain, and I have a proven track record turning complex data into clear, actionable insights. I enjoy mentoring engineers and collaborating across product, finance, and operations to drive better decisions.…I am a results-driven data engineer with 10 years of experience in data warehousing, analytics, and data science. I specialize in building scalable data platforms, optimizing pipelines, and translating business needs into impactful applications. My industry experience spans financial services, healthcare, and blockchain, and I have a proven track record turning complex data into clear, actionable insights. I enjoy mentoring engineers and collaborating across product, finance, and operations to drive better decisions.

Available to hire

I am a results-driven data engineer with 10 years of experience in data warehousing, analytics, and data science. I specialize in building scalable data platforms, optimizing pipelines, and translating business needs into impactful applications.

My industry experience spans financial services, healthcare, and blockchain, and I have a proven track record turning complex data into clear, actionable insights. I enjoy mentoring engineers and collaborating across product, finance, and operations to drive better decisions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Engineer at Digile, Inc.

September 2, 2025 - September 2, 2025

Optimized DBT workflows by refactoring staged, base, and intermediate models to reduce query cost and runtime. Built and maintained Python-based ETL pipelines integrating multiple CRMs (Salesforce, HubSpot, Flywheel, Gong) via Fivetran/Stitch, ensuring smooth version upgrades and API endpoint handling. Automated CRM data ingestion and transformation pipelines enabling near real-time customer analytics. Designed and deployed Terraform-based GCP infrastructure with alert policies for proactive monitoring. Engineered BigQuery pipelines for low-latency data lake extracts powering signals and a Unified Analytics Model (UAM) for cross-domain insights. Managed Kubernetes workloads for scalable data processing and orchestration. Optimized GCP resource utilization reducing infra costs while maintaining SLAs. Implemented secure CI/CD pipelines, managing fine-grained repository and deployment permissions. Integrated Slack, PagerDuty, Monte Carlo for automated data reliability monitoring and incid

Senior Data Engineer at Teladoc Health, Inc.

March 2, 2025 - March 2, 2025

Built and managed enterprise data warehouses using Snowflake, BigQuery, and Redshift for healthcare analytics ensuring HIPAA compliance. Designed scalable ETL/ELT workflows using Apache Airflow, DBT, and Databricks, integrating HR, IoT medical devices, insurance, ERP, and CRM data into a unified platform. Monitored pipeline health with AWS CloudWatch, setting automated alerts for missing or inconsistent patient data. Transformed structured and unstructured data using Python, PySpark, SQL, and Tableau to enable AI-powered diagnostics and predictive analytics. Developed advanced T-SQL and PL/pgSQL stored procedures, reducing ETL execution times for critical workflows. Applied statistical techniques to derive actionable insights, improved operational strategies. Built interactive dashboards in Power BI and Tableau to monitor patient outcomes, operations, and CRM-driven performance. Integrated RPA bots with ETL pipelines for end-to-end automation. Automated ETL deployments and schema migra

Data Engineer at Hashcash Consultants

December 2, 2022 - December 2, 2022

Developed blockchain data ingestion pipelines using Python, Web3.py, and Ethereum JSON-RPC for real-time extraction of on-chain transactions and smart contract interactions. Built scalable ETL pipelines with Apache Airflow, DBT, and PySpark, transforming raw blockchain data into structured analytics-ready formats. Optimized real-time on-chain data streaming with Kafka and AWS Kinesis, ensuring low-latency processing for Web3 analytics platforms. Implemented AI-optimized data partitioning in Snowflake and Delta Lake, reducing query latency by 50% for large blockchain datasets. Designed high-performance on-chain data indexing solutions using BigQuery Ethereum data set and custom GraphQL APIs. Created AI-powered dashboards in Tableau providing blockchain trend insights and token flows. Implemented CI/CD automation for blockchain pipelines using Terraform, CloudFormation, and Kubernetes, reducing deployment cycles. Deployed containerized apps using Docker and Kubernetes in hybrid cloud env

Data Analyst at TaskUs

January 2, 2020 - January 2, 2020

Tracked ad spend, revenue, and profit margins to help optimize budgets and increase ROI by 16%. Built automated reports and dashboards using Power BI, Tableau, and Google Data Studio to measure campaign performance. Analyzed marketing costs vs revenue to cut wasteful spending by 10% and improve budget efficiency. Used SQL and Python to forecast future revenue trends, aiding leadership in planning upcoming campaigns. Ran A/B tests to identify most cost-effective advertising strategies, increasing conversion rates by 20% while keeping spend under control. Provided real-time financial insights to executives to support smarter investment decisions. Automated data workflows with DevOps tools (GitHub Actions, Jenkins, Docker), reducing manual processing time by 43%.

Business Intelligence Specialist at Empata

December 2, 2016 - December 2, 2016

Designed and developed interactive dashboards and reports using Power BI and Tableau, giving real-time insights into sales, customer behavior, and inventory trends to optimize e-commerce operations. Extracted, transformed, and analyzed large datasets from OLTP/OLAP databases, SQL, and Salesforce to ensure high data accuracy and consistency for reporting and decision-making. Applied advanced statistical methods (regression, correlation) to identify patterns in customer purchasing behavior, sales performance, and marketing effectiveness, driving a 12% increase in conversion rates. Developed predictive analytics to forecast sales, customer churn, and inventory demand, reducing stockouts by 17% and improving revenue forecasting. Provided data-driven insights to senior leadership to shape pricing, promotions, and customer segmentation strategies. Collaborated with cross-functional teams (marketing, finance, operations, and customer success) to align data-driven recommendations with business

Data Analyst at TaskUs Angeles, Pampanga

January 2, 2020 - January 2, 2020

Tracked ad spend, revenue, and profit margins to optimize budgets and increase ROI by 16%. Built automated reports and dashboards using Power BI, Tableau, and Google Data Studio. Analyzed marketing costs versus revenue to cut wasteful spending by 10% and improve budget efficiency. Used SQL and Python to forecast future revenue trends and supported leadership planning for campaigns. Ran A/B tests to optimize advertising strategies, increasing conversion rates by 20%. Provided real-time financial insights to executives to inform decisions.

Business Intelligence Specialist at Emapta Angeles, Pampanga

December 2, 2016 - December 2, 2016

Designed and developed interactive dashboards and reports using Power BI and Tableau, providing real-time insights into sales, customer behavior, and inventory trends. Extracted, transformed, and analyzed large data sets from OLTP/OLAP databases, SQL, and Salesforce to ensure high data accuracy for reporting. Developed data-driven recommendations for pricing, promotions, and customer segmentation strategies; collaborated with cross-functional teams to align analytics with business goals.