Databricks, Python, ETL, warehousing, and lakehouse systems
Move, transform, validate, and organize data for trusted use.
AI Applications • Data Platforms • Finance & Health Care Systems
AI Systems Portfolio
VenkataAswanikumar Dhara
Lead Data Engineer | Databricks, ETL & AI Systems
Lead Data Engineer focused on Databricks, Python, ETL, Data Platforms, AI systems, Finance, and Health Care data.
I build reliable data flows, clean models, and practical systems that teams can trust.
Databricks + PySpark
ETL + Data Quality
Finance + Health Care
AI + API Systems
Professional Focus
Data Engineering, AI, APIs, Enterprise Platforms, Finance, and Health Care systems.
Work centered on reliable pipelines, structured data, platform integration, and AI-enabled product workflows.
Each project highlights data movement, architecture choices, and the path from prototype to production.
Domain & Platform Experience
Enterprise, Finance, and Health Care systems with data at the center.
Focused on practical platforms where quality, context, and trust matter.
Cloud, SaaS, integration, and Neoxam-aligned systems
Cloud, SaaS, and integration work with reliable data workflows.
Asset management, investments, FinTech, and capital markets
Financial data, investment workflows, reporting, and regulated systems.
Health Care data systems, operational workflows, and analytics-ready platforms
Sensitive data, structured records, reporting, and operational workflows.
Professional Evidence
Evidence of lead-level data engineering work.
Clear ownership across platforms, domains, and architecture decisions.
Pipelines teams can trust
Ingestion, transformation, validation, orchestration, and usable data layers.
Business context into system design
Finance, Health Care, and SaaS requirements translated into working platforms.
Clear architecture communication
Tradeoffs, boundaries, implementation choices, and delivery sequence.
Portfolio Roadmap
Current build path.
A simple roadmap of focused systems, built one step at a time.
S
Sattvicly
Stage: MVP Development
SP
Spillo
Stage: Planned MVP
AI
Sage AI
Stage: Architecture Track
+
Future Platform
Stage: Data + AI Ideas
Project Portfolio
Selected systems.
Sattvicly
AI-enabled planning system with structured data, APIs, and recommendation workflows.
- Preference and planning data models.
- LLM output with validation boundaries.
Technology
Python, FastAPI, SQL, LLM APIs, Docker, AWS
Spillo
AI-backed news summarization with ingestion, processing, storage, and API delivery.
- Ingestion and summarization flow.
- Designed first as a data product.
Technology
Python, APIs, NLP, LLM APIs, SQL, ETL concepts
Sage AI
Agent-oriented system for structured decisions, tool use, and controlled data context.
- Controlled context and tool execution.
- Clear automation boundaries.
Technology
Python, FastAPI, LLM APIs, Agentic AI, System Design, Data Context
Architecture & Engineering Focus
Engineering themes.
Data-first platform design
Reliable ingestion, transformation, data quality, and downstream use.
API-first backend design
Clear contracts, predictable request flows, and maintainable boundaries.
LLM workflow integration
Inputs, validation, outputs, and fallback paths.
Warehousing, lakehouse, and data hub foundations
Structured data, repeatable pipelines, and business-ready organization.
Cloud-ready deployment
Cloud, SaaS, Docker, environment configuration, and deployment paths.
Finance and Health Care-aware system design
Security, reporting, investment workflows, and sensitive data handling.
Technology Stack
Core stack.
Python
Databricks
PySpark
ETL Pipelines
Data Warehousing
Data Lakes
Lakehouse Architecture
Data Hub Engineering
FastAPI
SQL
PostgreSQL
AWS
Cloud Applications
SaaS Platforms
Docker
REST APIs
Neoxam
Asset Management
Investment Systems
FinTech
Capital Markets
Health Care Data
Health Care Systems
OpenAI API
Claude API
LLM Systems
Agentic AI
References & Links
Profiles and documents.
Replace placeholders with final public links before sharing broadly.