AVAILABLE FOR MEANINGFUL DATA PROBLEMS

Analytics that
moves with intent.

I’m Rishi Mukherjee, a Senior Analytics Engineer with 7+ years of experience building scalable analytics platforms, semantic layers, and business intelligence systems.

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Turning fragmented data into trusted decisions — from raw event streams to the metrics people rely on.

01 / ABOUT

Data should feel
like a product.

I’m a Senior Analytics Engineer based in Hyderabad, India. I build reliable analytics foundations that make complex businesses legible — from event collection and dimensional models to governed metrics and self-serve BI.

My background spans investment management, consumer apps, agritech, fintech, and banking. I care about the complete path from raw source data to decisions teams can trust.

10+years across data,
analytics & BI
6industries & teams
supported
3cloud data platforms:
AWS, GCP, Azure
01north star:
useful clarity

02 / EXPERIENCE

From source data
to shared truth.

Building data products across investment management, consumer technology, agritech, fintech, and banking.

  1. 2026 — NOW

    Senior Analytics Engineer / Juniper Square

    Building LookML semantic models, dbt transformations, and product metric frameworks for engagement, activation, and retention across an investment management platform.

  2. 2025 — 2026

    Senior Analytics Engineer / Veve

    Owned product analytics for a B2C mobile app, shaping event tracking, funnel and cohort models, experimentation analysis, and data governance.

  3. 2022 — 2025

    Data Analyst / Jiva Ag

    Built analytics systems from scratch across dbt, Airflow, Redshift, S3, Fivetran, Looker, Metabase, Mixpanel, and CleverTap.

  4. 2021 — 2022

    Data Insights Analyst II / MoneyGram

    Delivered BigQuery-based customer segmentation, campaign performance, loyalty, subscription, and retention intelligence.

  5. 2016 — 2021

    Analytics & data applications

    Earlier roles at Harvest Financial Services and Tata Consultancy Services spanning reporting, data modeling, Tableau, SQL, Python, and enterprise systems.

03 / CAPABILITIES

A precise toolkit for
data at scale.

04 / SELECTED WORK

Systems made
tangible.

View GitHub ↗

05 / RESUME

The short version,
on one page.

Senior Analytics Engineer focused on durable data models, intuitive semantic layers, and outcomes that teams can measure.

Download resume ↓

06 / CREDENTIALS

Always learning,
always shipping.

Microsoft Certified: Azure Data ScientistAstronomer: Apache Airflow 3 FundamentalsDataCamp: Data Engineer AssociateGoogle Analytics AdvancedSAP BW on HANAScrum Foundation ProfessionalfreeCodeCamp: Data Analysis with PythonIBM Design Thinking Practitioner

07 / CONTACT

Let’s make the
numbers matter.

Have a data challenge worth solving? I’d love to hear about it.