Event Pipeline
Go microservices moving 100M+ ad-tech events a day at Mable.ai.
Hi, I'm Piyush Pandey, a software engineer.
Currently at Mable.ai, shipping Go microservices for the ad-tech pipeline. I like distributed systems, observability, and writing code the next engineer can read.
I'm a software engineer working on event-driven backends, the kind that quietly move a hundred million messages a day and aren't allowed to drop any of them.
At Mable.ai I build Go microservices for the ad-tech pipeline: ingest from Meta, TikTok, Pinterest and Shopify; transform, attribute, persist. The work lives across GCP Pub/Sub, Postgres, ClickHouse and Redis, instrumented with Prometheus and Grafana so failure has a face.
Before that, telemetry at UIDAI and a brief stint in frontend at Omikron. I care about latency budgets, error messages, and treating the next engineer with respect.
Go microservices moving 100M+ ad-tech events a day at Mable.ai.
Meta, TikTok & Pinterest: event capture, tracking, attribution.
Captures e-commerce events from Shopify & Shopware into internal analytics & ad pipelines.
Migrated legacy TypeScript services to Go for throughput & sanity.
gRPC + Prometheus service streaming 250k telemetry events a day.
Fans conversion events out to ad platforms over Pub/Sub, with native retry policies and reject reporting.
Batched session sync & identity upserts that stitch shoppers to orders for attribution.
Store & ad-account credentials sealed with Vault Transit, revealed only at fetch time.
Batched ClickHouse inserts with configurable flush timeouts for the analytics store.
Go microservices, event pipelines, ad-tech integrations.
Karlsruhe, DE · RemoteTelemetry & observability in Go + gRPC.
Bengaluru, INAnatomy mapper, sensor dashboards.
RemoteI'm open to contract, freelance and full-time work. Say hello.