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Satyansh User

@satyanshuser

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I build Azure and Databricks data pipelines that turn high-volume data into reliable analytics products.

India

Message

At Memorae.ai, I build Databricks and Delta Lake ingestion pipelines for cross-channel marketing data, transforming campaign metrics into Gold-layer models for ROAS, CAC, funnel conversion, and attribution-ready analytics.

Previously at Celebal Technologies, I processed 1.9B SAP Finance records with an anomaly detection platform and ran 15+ ADF pipelines processing about 500 GB daily. I also build governed, scalable Azure data platforms using PySpark, Kafka, Unity Catalog, and Medallion Architecture patterns.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Memorae.ai

Jul 2026 - Present (2 months)

Engineered marketing data ingestion pipelines for Meta Ads, Google Ads, TikTok Ads, and other campaign platforms. Built a reusable Databricks ingestion framework on Delta Lake with configurable API connectors and idempotent MERGE upserts.

Azure Data Factory Databricks PySpark Delta Lake REST APIs ETL ELT Data Modeling SQL

Data Engineer

Celebal Technologies

Apr 2025 - Jun 2026 (1 year 2 months)

Architected an end-to-end metadata-driven anomaly detection platform on Databricks for SAP Finance, processing 1.9B records with ~98% accuracy. Engineered real-time streaming ingestion from Apache Kafka into Delta Lake using Structured Streaming.

Databricks PySpark Kafka Delta Lake Unity Catalog Azure Data Factory ADLS Gen2 SQL Data Governance CI CD

Data Engineer

Freelance

Dec 2023 - Feb 2025 (1 year 2 months)

Scoped, architected, and delivered cloud-native data engineering solutions for clients across retail, marketing, and energy verticals. Built a unified ingestion framework on Databricks consolidating REST APIs and batch file sources into Delta Lake.