Faris H.
Data & AI Engineer | Modern Data Warehouse | BI Developer | ML Models
I help businesses automate intelligent workflows and modernize their data infrastructure from agentic AI pipelines to cloud-native data platforms that drive real decision-making. With 6+ years of hands-on experience, I specialize in Agentic AI Engineering, Data Vault 2.0 / Cloud Data Engineering, and end-to-end BI solutions. What I Deliver: - Agentic AI Pipelines: End-to-end automation workflows using n8n and Claude AI lead enrichment & scoring, AI content generation, multi-step decision agents with structured JSON outputs, error handling, and CRM integration (HubSpot, GoHighLevel). - AI Workflow Automation: Webhook-driven systems that connect APIs, LLMs, and business tools into autonomous pipelines replacing manual processes with intelligent, self-routing flows. - Data Vault 2.0 Architecture: Design and implementation on Snowflake using VaultSpeed ensuring historical tracking, auditability, and enterprise-grade scalability. - Data Warehouse Modernization: Migration from legacy systems (SAP, DB2, Mainframe) to cloud platforms like Snowflake, Redshift, and Azure Synapse using Talend, Informatica, and Azure Data Factory. - Scalable Data Pipelines: Batch and streaming ETL/ELT pipelines with Kafka, Spark, and Python, orchestrated via Apache Airflow. - Cloud Data Solutions: End-to-end deployments on AWS (Glue, Lambda, S3, Lake Formation) and Azure, with CI/CD via Docker and Azure DevOps. - Business Intelligence & Dashboards: Power BI and Tableau dashboards that translate complex data into KPIs, executive reports, and actionable insights. Tech Stack: n8n, Claude AI, OpenAI, LangChain | Data Vault 2.0, Kimball, Snowflake, Redshift, SQL Server, MongoDB | AWS, Azure | Talend, Informatica, Spark, Kafka, Airflow, Docker | Power BI, Tableau, Python, SQL Industries: Finance, Energy, SaaS Featured Work: 1. AI Lead Enrichment Pipeline — n8n workflow with parallel Clearbit + Apollo enrichment, Claude AI scoring (hot/warm/cold), HubSpot upsert, and Slack alerts. Zero manual steps. 2. AI Content Generation Pipeline — Google Sheets editorial calendar → Claude AI → WordPress draft with AIOSEO fields pre-filled. Saves 8+ hrs/week. 3. Data Vault 2.0 Implementation (Finance) — Customer tracking on Snowflake with Kafka streams, Talend ETL, and Power BI dashboards. 4. Data Platform Modernization (Energy Trading) — Cloud-native platform with AWS Glue, Redshift, Medallion Architecture, and performance dashboards. 5. Product Development (Astera DW Builder) — Metadata-driven ETL tool with automated Data Vault generation and built-in reporting templates. Let's connect and discuss how I can automate your workflows or modernize your data platform.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $397
Billed in all: $2,201$2.2k
$397 in the last 6 months
Earnings, last 30 days
Skill rankings: Top 23% in Talend Data Integration
Ranked by MRR among everyone on Upwork with the skill.
- #7Data Vault16 freelancers · 🇵🇰 #2Top 44%🇵🇰#2 of 3
- #10Talend Data Integration43 freelancers · 🇵🇰 #3Top 23%🇵🇰#3 of 6
- #31Data Model84 freelancers · 🇵🇰 #4Top 37%🇵🇰#4 of 10
- #33Data Profiling97 freelancers · 🇵🇰 #1Top 34%🇵🇰#1 of 3
- #34Data Ingestion114 freelancers · 🇵🇰 #8Top 30%🇵🇰#8 of 24
- #161Data Warehousing494 freelancers · 🇵🇰 #35Top 33%🇵🇰#35 of 106
- #215Snowflake621 freelancers · 🇵🇰 #41Top 35%🇵🇰#41 of 98
- #480Data Processing1,172 freelancers · 🇵🇰 #87Top 41%🇵🇰#87 of 186