Snehal K.
AI & Data Architect | Data Platforms & Analytics | RAG, LLM, AI/ML
I can make Data, Tech, and AI work for your company. I'm a Data Engineer and Cloud Architect with a track record of building production-grade data systems. My pipelines hold 99.5% uptime with modular DAGs, monitoring, and automated recovery. My data quality SLAs stay under 15-minute freshness windows. Here's what that's looked like in practice: ✅ $4M+ in annual efficiency gains through AI-powered data products ✅ $500K/factory/year in operational cost reduction via Industry 4.0 data solutions ✅ Pipeline processing time cut from 2–3 days to a few hours — fully automated ✅ MTTR reduced from ~4 hours to ~10 minutes using exception dashboards and RCA workflows ✅ 99.5% data quality SLA via pre/post checks, KPI null checks, and alerting ✅ 3 production AgentForce agents deployed and automating real workflows What I build: - End-to-end data pipelines (batch & streaming) on AWS, GCP, and Azure - Lakehouse and cloud data platform architecture (Snowflake, Databricks, BigQuery) - GenAI and RAG integrations connected to governed, production data - BI layers that executives and ops teams actually use (Looker, Tableau, Power BI) - AgentForce deployments for sales and customer service automation - IoT and real-time sensor pipelines for manufacturing and logistics How I Work First call is always just a conversation - I ask a lot of questions before I recommend anything. Once we're clear on what needs to be built and why, I put the architecture on paper before writing a single line of code. That saves both sides from expensive mid-project surprises. When the work is done, it's fully yours - your infrastructure, your code, your team maintaining it. I don't build things that need me around to function, but I am available after go-live if needed. Tech Stack -Data Engineering - Spark | Airflow | Selenium | Kafka | Talend | Docker | Kubernetes | Hadoop -BI - Tableau | Power BI | Looker | QlikView -Database & Storage - Snowflake | Amazon Redshift | Google BigQuery | Databricks | Kafka | Airflow | PostgreSQL | TimescaleDB -AI/ML & Data Analytics - Statsmodels | SciPy | Spark | Airflow | pytest | Amazon SageMaker | Unittest | LightGBM | Python | Salesforce Einstein AI -DevOps & Quality - Jenkins | GitLab | GitHub Actions | Prometheus | Grafana | ELK Stack | Cypress | Selenium | pytest | SonarQube -Gen AI / Agentic AI - ChatGPT | Salesforce AgentForce | LangChain -Streaming & Real-time - Kafka | Flink | Amazon Kinesis | Apache Beam -Cloud & Infrastructure - AWS | Google Cloud | Azure | Kubernetes | Terraform | Looker | Prometheus | Grafana -Business Systems - HubSpot | SAP | Salesforce Open to long-term partnerships - White-label and agency collaborations welcome. Ready to build? Message me with what you're trying to solve. I will show you how I’d approach it and how we can collaborate. Thanks
Earnings and projects
An estimate from an earlier read
Billed in all: $15,595$16k
Across 42 contracts
Earnings, last 30 days
No data since Nov 5, 2026.