Hire the Best Scala Developers
in Turkey

I build AI-powered software that works in production - not demos that die in staging. What I've shipped recently: Transgate.ai (My SaaS) Multi-provider speech platform: Deepgram, Soniox, RunPod integration. Async webhooks, provider failover, voice pipelines. 63+ production features shipped. This is why voice AI and telephony integrations are second nature. Enterprise Customer Chat (NDA - Major European Corporation) Built production customer chat service with LangChain, LangGraph, and Langfuse. SLA monitoring, robust error handling. Also designed multi-tenant MLOps infrastructure: Azure, Kubernetes, ArgoCD, Terraform. Corporate Training AI (NDA - Dubai Startup) AI-powered course recommendation engine. Users describe training needs, LLM suggests relevant courses with relevance scores. FastAPI backend, DeepSeek integration, 77% test coverage. KenzNote.ai (AI Meeting Notes) Chat with AI about your meetings. Ask questions, get answers with citations from your transcript. Trust-aware citation system. I handle the parts that break most projects: multi-provider integration, webhook architecture, error recovery, production monitoring. Stack: Python, FastAPI, LangChain/LangGraph, VAPI, Retell, Twilio, n8n, React, PostgreSQL, Docker, Supabase

Stream and batch processing to extract, transform and load large amount of data while optimizing and maintaining search using Apache Spark, Apache Kafka and Apache Flink in Scala Building API s in Golang and Python Use NewRelic, Kubernetes and Grafana service to maintain, observe and large amount of stream Create job schedules using Apache Airflow DAGs and Gitlab CI/CD pipelines Extract, transform and load large amounts of data from a variety of sources(S3, Redshift, RDS) with pyspark ETL jobs(AWS Glue, AWS EMR) 􏰀 Use best practices to scale Apache Spark jobs and data partitions with AWS Glue 􏰀 Reduce run time and usage memory for existing jobs on pyspark manipulating parameters of spark and AWS Glue(control DPU and execution time) 􏰀 Build large and complex data pipelines that reads and writes different data sources like AWS S3/AWS Redshift/AWS RDS 􏰀 Create daily and on-demand data pipelines using workflows, triggers, AWS Glue and AWS Lambda 􏰀 Control health and errors of AWS Glue jobs using CloudWatch events, AWS Lambda and Slack channels

Turn messy, complex data into reliable, scalable, and production-ready systems. I am a Data Engineer and Architect with over 5 years of experience specializing in the entire data lifecycle. From building real-time streaming architectures to deploying cost-efficient cloud analytics platforms, I bridge the gap between raw data and actionable business value. With a background in both Data Engineering and Data Science, I don't just move data; I ensure it is modeled for high-performance analytics and predictive insights. Core Expertise & Services: • Data Warehouse & Lakehouse Architecture: Custom-designed, scalable solutions using Databricks (Delta Lake), and BigQuery. • ETL/ELT Pipeline Development: Robust data workflows using Python, SQL, dbt, and Apache Spark. Real-Time Streaming: High-performance systems utilizing Kafka, Flink, and Spark Streaming (Scala/Python). • Orchestration & MLOps: End-to-end workflow automation with Apache Airflow; production-grade MLOps pipelines using MLflow for experiment tracking and model lifecycle management; CI/CD pipelines with Jenkins, GitHub Actions, Terraform, and Helm. Real-time change data capture (CDC) architectures with Debezium integrated into Kafka-based systems. • Infrastructure & DevOps: Production-ready containerization via Docker & Kubernetes across AWS, GCP, and Azure, or specialized on-premises environments. • Database Migrations: Seamless metadata upgrading and migration for PostgreSQL, MySQL, and NoSQL systems. • AI Engineering & LLMOps: Building production-ready LLM-based systems, RAG architectures, and vector data modeling integrated with MLflow for scalable AI deployment. • AI-Driven Automation & Orchestration: Designing and deploying autonomous AI agents and advanced workflow automation using n8n. Expert in bridging LLMs, vector databases, and enterprise data pipelines into production-ready, self-hosted or cloud-based autonomous systems that orchestrate complex business logic. Technical Stack: Languages: Python (FastAPI), Scala, SQL. Big Data Tools: Spark, Trino, Flink, Hadoop, Hive. Data Ops, MLOps & Automation: Airflow, dbt, n8n (AI Agent Workflows), Kafka, Debezium (CDC), MLflow, Jenkins, CI/CD pipelines. Cloud: AWS, GCP, Azure, MinIO. Monitoring & Logging: Elasticsearch, Kibana Visualization: PowerBI, Tableau, Looker Studio Proven Impact: Award-Winning Solutions: Led a freight price estimation project that achieved 78% accuracy, winning the Ministry of Trade Digital Transformation Award. Cost Efficiency: Reduced annual operational costs by $150K through optimized data architecture and predictive modeling. Global Collaboration: Extensive experience working with international teams across Europe and Turkiye, combining technical leadership with business strategy. Whether you need a complete migration to the cloud or a real-time analytics dashboard, I am here to build the engine that powers your growth. Let's discuss how I can optimize your data infrastructure and unlock valuable insights for your business. Click "Invite to Job" or "Message" to start the conversation!