Open to opportunities

Mohroze User

@mohrozeuser

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Lead Data Engineer and Cloud Data Architect specializing in scalable real-time and lakehouse platforms.

United States

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What I'm looking for

I seek senior roles building scalable, secure cloud data platforms with real-time analytics, strong CI/CD, observability, and opportunities to mentor engineers.

I am a Lead Data Engineer and Cloud Data Architect with 9+ years designing and scaling cloud-native data platforms across AWS, Azure, and GCP. I build real-time streaming and lakehouse architectures using Databricks, Snowflake, Spark, Kafka, and Airflow, and I drive modernization through automation, Data Mesh adoption, and MLOps integration.

I have led teams, mentored engineers, and delivered petabyte-scale ELT pipelines with governance, observability, and security (HIPAA, GDPR, SOC2). My achievements include architecting multi-cloud pipelines processing 5+ TB daily, improving query latency by 65%, cutting infrastructure costs by 45%, and increasing alerting accuracy by 60% through robust observability and CI/CD practices.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Employers

Oct 2022 - Present (3 years)

Architected multi-cloud data platforms using Databricks and Snowflake to support 5+ TB daily processing, implemented streaming ingestion (Kafka, Kinesis), and improved observability and alerting accuracy by 60% through Grafana/Prometheus dashboards.

Databricks Snowflake Kafka Kinesis Airflow Terraform Pyspark Delta Lake Great Expectations

Data Engineer

Confluent

Aug 2019 - Sep 2022 (3 years 1 month)

Developed HIPAA-compliant ETL and CDC pipelines using Debezium, Kafka Streams, Databricks, and Snowflake, migrated workloads to Redshift/BigQuery improving performance by 40%, and implemented governance with Azure Purview.

Kafka Debezium Databricks Snowflake Azure Data Factory DBT Redshift)BigQuery Terraform

ETL & Data Warehouse Engineer

Accenture

Jun 2015 - Jul 2019 (4 years 1 month)

Designed ETL workflows and enterprise data models for financial and healthcare clients, migrated on-prem workloads to Redshift and Synapse reducing costs by 30%, and optimized SQL queries to cut runtimes by 45%.