Mukesh Kumar

About Mukesh Kumar

Architect and lead end-to-end data platforms delivering low-latency insights across Marketing, Sales, Operations & FinanceOwn large-scale ELT systems supporting production dashboards/views with strong SLAs on reliability, performance, and costDesign warehouse architectures and dbt transformation layers on BigQuery/Snowflake/Redshift, optimizing query performance and spendBuild production pipelines powering recommendation systems and marketing retention campaigns, directly impacting customer engagementDevelop real-time streaming + backend services (Pub/Sub, Kafka, Flask/Django APIs) enabling CRM integrations and stakeholder reportingDeliver AI-driven products, including Gemini call summarization and customer health summarization, embedding LLMs into data workflowsLead data hygiene, quality frameworks, and governance to ensure trusted analytics at scale.Tech Stack:Databases (SQL + NoSQL): BigQuery, MySQL, PostgreSQL, SQL Server, MongoDB, RedisBI Tools: Tableau, Metabase, Power BIData Warehouses: BigQuery, Snowflake, RedshiftCompute / VM: Google Compute Engine, AWS EC2Streaming / Queue: Pub/Sub, KafkaCloud Function: Google Cloud Function, LambdaTransformation: dbtScripting: PythonFrameworks: Flask, DjangoCloud Platforms: GCP, AWS, AzureStorage: GCS, S3, Azure StorageAI / LLM: Gemini, ChatGPT, Grok

Experience

1. Data Science Lead

   Redcliffe Labs

   Sep 2024 — Present · Noida, IN

   Leading a team of data scientists and analysts to derive actionable insights from data, while managing end-to-end data engineering processes—building pipelines from diverse sources to BigQuery and maintaining company-wide BI dashboards. Skilled in collaborating with stakeholders across teams to understand and meet business requirements- Managing Metabase views across all verticals (Marketing, Operations, Sales, Support, Finance, Inventory, and Process Analytics)- Leading the integration of health summary and doctor consultation APIs, leveraging LLMs to process medical test data and generate personalized health summaries for each body part tested- Working closely with CXOs from various business functions (Marketing, Operations, Finance, etc.) to drive data-driven decision-making and continuous improvement- Managing complex data pipelines and ensuring the optimization of BigQuery performance and cost.Skills- MetaBase, Google Cloud Platform (GCP), Data Warehousing, Extract, Transform, Load (ETL), Automation - PySpark, DBT, Flask APIs, Large Language Models (LLMs), Data Engineering - Google BigQuery, Data Architecture, Data Monitoring, Prompt Engineering

Education

• International Institute of Information Technology Bangalore

  Post graduate Diploma, Data Science

  2020 — 2021

• Liverpool John Moores University

  Master of Science - MS, Data Science

• Manav Rachna University

  B.sc, Mathematics

  2017 — 2020