AVAILABLE FOR IMMEDIATE HIRE
MADHU
Data Engineering Leader
I build production-grade data platforms — unified dashboards, real-time event pipelines, and warehouse models — focused on reliability, performance, and business impact.
7+
Years building data systems
50+
Platform integrations delivered
99.9%
Pipeline reliability targets
EditCue
Product shipped (tool)
PROOF OF IMPACT
PROJECTS THAT MOVE METRICS
LIVE IN PRODUCTION
↗Unified Marketing Dashboards
PythonSQLAirflowdbtPostgresBI
Unified multi-source marketing + business metrics into trusted dashboards for decision-makers. Focused on reconciliation, data quality checks, and clear attribution views.
↗ Faster reporting + higher trust in metrics
SCALING FAST
↗Real-time Marketing Signals
KafkaPythonCeleryAPIsPostgresCAPI
Built reliable near real-time signal pipelines to send conversion + customer events to ad platforms, analytics, CRMs, CEPs and BI tools with retries, idempotency, and monitoring.
↗ Reduced lag and improved conversion measurement
AUTOMATION
↗Product Catalog Sync Automation
PythonETLAPIsValidationSchedulers
Automated product catalog sync to ad platforms with schema validation, dedupe, error triage, and continuous reconciliation. Designed for correctness under changing feeds.
↗ Reduced manual work + improved feed accuracy
BATTLE-TESTED STACK
TECH ARSENAL
⌁
Data Platforms
- Warehouse modeling (Star / Dimensional)
- Batch + incremental pipelines
- Data quality + reconciliation
- BI-ready marts & metrics layers
⎈
Orchestration & Processing
- Airflow / DAG design & SLAs
- Spark / PySpark (batch processing)
- Streaming patterns & event ingestion
- Retries, idempotency, backfills
⚙
DevOps & Reliability
- Docker & production deployments
- Kubernetes (learning + adoption)
- Monitoring, alerts, runbooks
- Cost/performance tuning
CREDENTIALS
CERTIFICATIONS
Google Cloud Professional Data Engineer
Available on request / CV.
Snowflake SnowPro Core Certification
Available on request / CV.
IBM Data Engineer
Available on request / CV.
LET’S TALK
CONTACT
Roles, consulting, collaborations, or product discussions.