Available for conversations

Sharad Chandel

Engineering lead, 7 years in. I run the engineering team at DWAO, a martech company, where we build the services and pipelines behind marketing analytics, the warehouse they land in, and the ML and LLM systems that sit on top.

Role
Engineering Lead
Company
DWAO
Experience
7 years
Focus
Platform · Data · ML
Get in touchSee experience
Client applications call the API and services layer, which emits events into ingest alongside Google Analytics 4, Mixpanel and Adobe Marketing Cloud. Ingest loads the warehouse, which feeds the analytics layer and a feature layer serving the models. The models are exposed through the serving API back to the product.ClientsAPI / ServicesServing APIGA4MixpanelAdobe MCIngest / ETLWarehouseAnalyticsFeaturesModels
Fig. 01 — PlatformProductDataAnalyticsML

01Experience

  1. Engineering Lead

    2021–Present

    Digital Web Analytics and Optimization LLP

    Lead the engineering team. Own the services and pipelines that move Google Analytics 4, Mixpanel and Adobe Marketing Cloud data into AWS and GCP, and the warehouse behind them. Extended the platform into machine learning: feature pipelines, customer segmentation and recommendation models, deployment workflows, and LLM-powered analytics tooling.

    • Python
    • SQL
    • Go
    • Node.js
    • AWS
    • GCP
    • Databricks
    • Adobe Marketing Cloud
    • Google Analytics 4
    • Mixpanel
    • scikit-learn
    • PyTorch
    • LangChain
    • MLflow

  2. BI & Data Analyst

    2019–2020

    TransformCo

    Built ETL pipelines into the data warehouse, and the reports and dashboards that ran on top of them.

    • SQL
    • Python
    • Snowflake
    • Teradata
    • Tableau

02Stack

Languages
PythonGoNode.jsSQL
Cloud
AWSGoogle CloudAzure
Data
SnowflakeDatabricksPostgreSQLMongoDB
ML
scikit-learnPyTorchLangChainMLflow
Analytics
Adobe Marketing CloudGoogle Analytics 4MixpanelTableau

03About

I design and optimize data pipelines and the systems around them. Over the past several years that has meant Apache tooling, Python, SQL, Go and Node.js on AWS, GCP and Databricks, wired into Adobe Marketing Cloud, Google Analytics 4 and Mixpanel.

More recently the same work has extended into machine learning: feature pipelines, training and serving infrastructure, and production ML and LLM systems for marketing analytics. These days I lead the engineering team that builds and runs all of it.

04Contact

Happy to talk about pipelines, ML systems or LLM tooling.

[email protected]LinkedIn