Available for consulting, fractional leadership & senior roles

Build a data platform your business can trust.

I help SaaS, marketing and analytics teams design and build reliable data pipelines, real-time event systems, warehouse models and executive dashboards.

I was involved in the 0→1 journey of a SaaS startup and owned data platforms end to end: ingestion, transformation, modeling, observability, reliability, integrations and delivery.

Book a free data systems audit View case studies

PythonSparkAWSAirflowdbtKafkaSQLBigQuerySnowflake

Services

Clear offers for teams that need data to work.

Implementation-focused services for dependable metrics, automation and production-ready data architecture.

Data Platform Setup

For companies starting from scattered data sources and manual reporting.

ETL/ELT pipeline architecture
Warehouse setup: BigQuery, Snowflake, Redshift, Postgres
dbt models, metric layers and BI-ready marts
Documentation and ownership handover

Real-Time Event Pipelines

For SaaS, ads, CRM, product analytics and conversion tracking.

Kafka / Pub/Sub / Celery ingestion patterns
Conversion API and platform integrations
Retry, idempotency, dedupe and reconciliation
Monitoring, alerting and runbooks

Reliability & Cost Audit

For teams with broken dashboards, slow pipelines or high cloud bills.

Pipeline failure and freshness analysis
Data quality and schema validation checks
Warehouse query optimization
Operational observability improvements

Fractional Data Leadership

For startups that need senior architecture without a full-time Director hire.

Architecture reviews and roadmap planning
Sprint planning and execution standards
Team mentoring and hiring support
Data governance and platform ownership

0→1 SaaS platform owner

From MVP speed to production reliability.

I have worked in early SaaS environments where requirements change quickly and data systems still need to be reliable, observable and scalable.

At EasyInsights, I helped build and scale core real-time data platform systems enabling bidirectional event sync across 50+ ad platforms, CRMs and analytical tools.

7-day MVPCollaborated across product and engineering to deliver the MVP quickly.

40% fasterReduced incident resolution time through logging, reconciliation and diagnostics.

40%+ fewer failuresImproved reliability using reusable ETL components, validation and monitoring.

50+ integrationsIntegrated marketing, CRM, analytics and business systems into a unified layer.

Problems I solve

When metrics stop being trusted, growth slows down.

Dashboards show different numbers across tools.

Marketing attribution is delayed or unreliable.

Pipelines fail silently or require manual reruns.

Warehouse costs rise without clear value.

Event tracking is duplicated, missing or inconsistent.

No one owns the data model or metric definitions.

The business does not trust reports.

You need senior data architect before hiring a full team.

Case studies

Business problems turned into working systems.

Analytics platform

Unified Marketing Analytics Platform Across 50+ Integrations

Problem: Teams had fragmented reporting across ads, CRM, analytics tools and internal systems.

Solution: Built automated ingestion, reconciliation, warehouse-ready models and BI dashboards.

Impact: Improved campaign analysis accuracy by 30% and reduced fragmented reporting.

Python · SQL · Airflow · dbt · Postgres · BI

Real-time data

High-Throughput Real-Time Event Exchange Platform

Problem: Event data needed to move reliably between ad platforms, CRMs, analytics systems and reporting workflows.

Solution: Designed ingestion and transformation pipelines with validation, retries, reconciliation and observability.

Impact: Processed 10,000+ events/sec with sub-60-second latency and 99.9% delivery reliability.

Kafka · PySpark · Celery · APIs · Postgres · CAPI

AI product

EditCue — AI Video Trimming Tool

Problem: Users need a simpler way to trim and sequence videos without complex editing tools.

Solution: Built an AI product that converts plain-English timestamp prompts into FFmpeg operations.

Impact: Owned backend APIs, frontend workflows, storage, payments, async processing and large-file handling.

LLM · FastAPI · React · MongoDB · FFmpeg

Engagement models

Start with the level of help you need.

1–2 weeks

Data Audit Sprint

Best for teams unsure why pipelines, dashboards or tracking are unreliable.

System audit
Bottleneck report
Data quality checklist
Architecture recommendations
Implementation roadmap

4–8 weeks

Build Sprint

Best for startups that need a new pipeline, dashboard layer, event system or MVP data platform.

Production pipeline
Data models
Monitoring setup
Documentation
Handover

Monthly

Fractional Data Lead

Best for companies needing ongoing technical leadership and delivery guidance.

Architecture ownership
Team guidance
Data roadmap
Delivery reviews
Hiring support

Why work with me

Hands-on builder, platform owner and technical leader.

I bring a combination of deep hands-on engineering and leadership experience. I have built distributed ingestion systems, ETL/ELT platforms, data models, observability frameworks and business dashboards in production environments.

I am strongest where ownership matters: turning unclear business requirements into reliable architecture, production workflows, quality gates, monitoring and measurable outcomes.

Data platform architectureReal-time pipelinesCloud data engineeringData observabilityCross-functional leadershipData reliability

Let’s talk

Need a reliable data platform or senior data ownership?

Share your current data challenge, stack and timeline. I can help with audits, build sprints, fractional leadership or senior engineering roles.

madhutalluri96@gmail.com LinkedIn GitHub Resume