Phani Yadla

Senior Data Engineer | Python . GCP · AWS . Snowflake · DBT · Airflow | Paris

You need reliable, scalable data infrastructure — pipelines that actually work in production, costs that don't spiral and teams that stay autonomous. That's exactly what I deliver.

With 8+ years of experience across scale-ups and global tech companies (TheFork/TripAdvisor, Brevo, Aircall, IBM), I help organisations build and modernise their data platforms — from ingestion to transformation, observability, and self-service enablement.

What I bring to the table:

End-to-end pipeline engineering — ETL/ELT batch and streaming pipelines processing 500+ GB/day, built with Airflow, Spark, Kafka, and cloud-native tools (GCP, AWS, Snowflake)

Modern data stack expertise — dbt, Airbyte, Meltano, Sifflet; I've migrated legacy SQL transformation jobs to dbt and onboarded partner teams to full autonomy

Cost & performance optimisation — achieved 35% Snowflake cost reduction at TheFork; reduced pipeline build time and S3 storage costs through targeted architectural improvements

DataOps & infrastructure — Terraform (HashiCorp Certified), Docker, Kubernetes, CI/CD; I build data platforms that are maintainable, observable, and production-grade

Data observability — integrated Sifflet and data quality checks into live pipelines to enforce data trust at scale.

Typical missions I handle:

Data platform modernisation & cloud migration (AWS ↔ GCP)

Data mesh / self-service platform implementation

DBT project setup and team onboarding

Snowflake / BigQuery architecture & cost optimisation

Streaming architecture with real-time pipelines

Data lakehouse POCs (Apache Iceberg)

Based in Paris, available for remote or on-site freelance missions.

Fluent in English, advanced French