PythonApache AirflowFastAPIReact
Rahul Rajasekharan Senior Data Engineer
Passionate about the modern data stack (dbt, Airflow, PySpark, AWS), I specialize in automating complex workflows, optimizing data pipelines at scale, and improving developer experience across the data platform. I enjoy pushing boundaries, experimenting with new tools, and turning repetitive work into clean, automated systems.
Skills & Stack
Production tools I use to design, orchestrate, and operate data platforms.
Languages & Core
PythonSQLBashPL/SQLExcel VBA
Processing & Orchestration
Apache AirflowSparkPandasdbtStep Functions
Gen AI & LLMs
OllamaAgnoLangchain
Storage
S3RedshiftSnowflakeTerraformDocker
Infra
CloudFormationDockerTerraformGithub ActionsCode Pipeline
Quality & Governance
YData Profiling
Modeling Patterns
Star Schema3NFMedallion/Lakehouse
Ops & Practices
SLIs/SLOsCost OptimizationCI/CDCode Reviews
Certifications
Industry-recognised credentials across cloud and analytics.
AWS
• AWS Certified Solutions Architect
• AWS Practitioner
Airflow
• Astronomer Certified DAG Authoring
• Astronomer Certified Airflow Fundamentals
DBT
• DBT Fundamentals
Snowflake
• Snowflake Fundamentals
Open Source Contributions
A pipeline of tools released publicly. Each node represents a project with full technical details available.
1
2
dbtPythonLLMs
3
AirflowReactREST API
4
AirflowLLMsOllama
5
AirflowLLMs
6
AirflowWeather APILLMs