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Hi, I'm Rishi Tamrakar

Data Engineering · Cloud · Agentic AI

I build dependable data platforms and practical AI-assisted workflows. For over a decade, I have helped teams move from legacy ETL to scalable cloud-native systems.

Explore my experience View LinkedIn
10+Years in data
GCP & AWSCloud platforms
GermanyBased in Munich
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Rishi Tamrakar
// professional profileRishi TamrakarData engineer & AI practitioner
data/Data engineeringpipelines
cloud/GCP · AWSplatforms
ai/Agentic workflowspractical
$ build --reliable-systems
About

A data engineer grounded in systems that work

My career spans the evolution from Informatica PowerCenter and on-premise ETL to modern data platforms on GCP and AWS. I focus on the engineering details that make data products reliable, maintainable, and useful to the teams who depend on them.

Today, I work at the intersection of data engineering and Agentic AI: applying AI thoughtfully to investigations, automation, and developer workflows while keeping the fundamentals of data quality, observability, and sound architecture in place.

Experience

A decade of data engineering evolution

From enterprise ETL foundations to cloud-native platforms and AI-assisted engineering.

  1. FoundationTCS

    Enterprise data workflows

    Built data integrations and ETL foundations with Informatica PowerCenter.

  2. ScaleClairvoyant / PayPal

    Distributed data processing

    Worked with Hadoop and Spark to support data workloads at scale.

  3. CloudUplight

    Cloud data platforms

    Built and maintained modern, dependable data systems on cloud-native stacks.

  4. NowFINN

    Data platforms & Agentic AI

    Developing GCP data platforms and exploring practical AI-assisted engineering workflows.

Expertise

The tools behind reliable data systems

Data engineering

PythonSQLSparkdbtKafkaAirflow

Cloud & platforms

GCPAWSBigQueryDataflowPub/SubTerraform

AI-assisted engineering

Agentic AILLMsRAGMCPAutomationCI/CD
Selected projects

Practical tools for better workflows

Open-source experiments across developer productivity and AI-assisted work.

todo-bytes browser interface showing a list of tasks
Featured projectOpen source

todo-bytes

A local-first task manager backed by plain YAML, available through a CLI, browser UI, AI-agent skill, and MCP server.

PythonMCPCLIWeb UI
View source
AI labOpen source

OpenClaw Docker Lab

A sandboxed Docker starter for running and personalising an AI assistant locally, with setup and security guidance.

DockerShellAI agents
View source
Explore GitHub →
Selected writing

Technical perspectives on data systems

A few field notes on data architecture, transformation engineering, and practical trade-offs.

Data engineeringdbt

From Informatica to dbt

How modern transformation tooling brings testing, lineage, documentation, and software-engineering discipline to SQL.

Read on Medium →
System designData modelling

Why I’m Breaking the DRY Rule

When deliberate data duplication is the clearest way to satisfy latency, scale, and analytical requirements.

Read on Medium →
KafkaPub/Sub

Should We Always Build Decoupled Systems?

How to choose between synchronous and asynchronous workflows from actual business requirements.

Read on Medium →
Connect

Let’s talk data, platforms, or AI

I enjoy connecting with people working on dependable data systems and thoughtful AI adoption.

Connect on LinkedInExplore GitHub