Yunus Erduran

About Yunus Erduran

US Citizen : Authorized to work in the US for any employer. Data Developer with 10 years of IT experience and 7 years in data engineering, business intelligence, and analytics. Certified in Azure DP-203, Databricks, and Power Platform. Specialized in building cloudscale ETL/ELT pipelines and cloud-native data platforms across retail, telecom, and healthcare sectors. Expert in Synapse, Fabric, Databricks, PySpark, dbt, Snowflake, Power BI, Tableau, and SSIS. Proficient in OLTP/OLAP architecture, serverless SQL, Medallion design, Devops CI/CD practices, and multi-cloud integration. Skilled in CRM data automation, cross-platform database orchestration, and enterprise workflow solutions. • Languages: T-SQL, Python, PL/SQL, DAX, PowerShell • Cloud Platforms: Azure, Databricks, Snowflake, AWS • BI & Reporting: Power BI, Tableau • Databases: SQL Server, PostgreSQL, NoSQL • ERP/CRM: Dynamics 365 CE, Sage Intacct, Salesforce, Epic Systems • Power Platform: Logic Apps, Functions App, Power Apps, Power Automate, Dataverse, AI Builder, REST APIs • Data Architecture: OLTP, OLAP, Medallion, CI/CD, Azure Purview Certifications: • Azure Data Engineer DP-20••••••••87) • Databricks Certified Data Engineer • Power Platform Developer PL-900 • Microsoft Certified Systems Engineer (MCSE)

Experience

1. Data Developer

   Tristrux

   Apr 2024 — Present · Clifton, NJ, US

   Developed high-volume ETL/ELT pipelines in Azure Data Factory, Synapse, and Databricks PySpark applying broadcast joins, UDFs, and partitioning for near real-time analyticsDeveloped advanced SQL queries using partitioned tables, indexing, concurrency controls, window functions, query hints, and thorough plan analysis, optimizing heavy workloads at scaleDeveloped real-time data pipelines using Apache Kafka and Spark Structured Streaming, enabling low-latency reporting and alerting for operational teamsAutomated 60+ workflows using Azure Logic Apps, Power Automate, and Power Apps, creating custom connectors and extending Dataverse solutions for streamlined cross-platform data syncingBuilt Databricks pipelines using PySpark, Delta Lake, and Structured Streaming with broadcast joins, UDFs, and partition pruning for real-time analytics over 10M+ records.Designed and optimized 14 Tableau dashboards with advanced LOD calculations, data blending, row-level security, and performance tuning for enterprise-wide analyticsDeveloped RESTful integrations using JSON, XML, and HTTP Webhooks to unify Salesforce and accounting systems, enabling real-time data exchange and consistent financial reportingLeading migration from Synapse to Fabric Lakehouse using Direct Lake mode, EventStreams, OneLake decoupling, and semantic model rebinds for delta ingestion and workspace-level security.Integrated automated data quality checks with Great Expectations and Deequ, enforcing schema validation and anomaly detection for high-fidelity ETL pipelinesTuned Databricks jobs with cluster sizing, adaptive query execution (AQE), and Z-ordering on gold layers in Medallion Architecture for maximum performance.

Education

• Monroe College

  Information technology

• Touro University

  Graduate Degree