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I am a Software and Embedded Developer that has experience in building both consumer and startup applications. I have been involved in building applications for both consumer and commercial products. As a scientist, I guarantee to deliver only top quality products. The results are solutions that consistently meet my clients needs and exceed their expectations. I am a scientist who is experienced in unmanned air vehicles together with neural networks, machine learning and python. I made lots of projects which are unique. Some of these are; -Writing ground controller systems (GCS) for controlling, tracking and changing the usable modes of unmanned aircraft vehicle. -Aerodynamic Design and Calculations for Fixed Wing Unmanned Aerial Vehicles Which are Used in Remote Sensing Studies. -INVESTIGATION OF THE EFFECTS OF WING DESIGN ON FLIGHT TIME, MANEUVERABILITY AND VELOCITY (VSTALL) IN FIXED WING UAV -Calculated viscosity, reynolds number, thrust, lift and v stall with python for aerodynamic of the Unmanned Aircraft Vehicles. -Implementation of a script that calculates sunrise and sunset measurements for Bakırlıtepe, Saklıkent campus Technologies I work with: Hardwares: Raspberry pi, Arduino, PIC Microcontroller Languages: Python, Java, C, C#, Dart, Flutter Some Subjects Of Research And Project: --Autonomous Vehicles --Satellite Image Processing --Digital Image Processing -- Data Preprocessing --Machine Learning --Neural Networks --Neural Language Processing -- UI design with PYQT5 --Aerodynamic Calculations and Aerodynamic Design For UAV Projects. --Image Processing Tools And Technologies: OpenCV, SPENVIS, SAGA, XFLR5, ArcGIS, FreeCAD, QGis, DS9, ESRI, Linux/Unix,Anaconda, Spyder, Git Atom, Eclipse, Visual Studio,Android Studio, PyCharm

I'm a tech & growth-oriented data professional with over 7 years of experience across the entire data lifecycle (ETL, ELT, LTL). I specialize in developing efficient data flows and effective data delivery systems to drive business value. Services Offered: ✅ Database Migration & Metadata Upgrading – Expert migration services for PostgreSQL, MySQL, NoSQL databases and more. ✅ Data Warehouse Architecture – Custom-designed, scalable data warehouse solutions tailored to your specific business requirements. ✅ ETL/ELT Development – Robust data pipeline implementation using Python, DBT, and Apache Spark. ✅ Experienced Databricks and MotherDuck solutions. ✅ Data Pipeline Architecture & Deployment – Streamlined or Batch workflow automation with Apache Airflow and Kubernetes. ✅ Application/Service Containerization – Seamless deployment and management using Docker and Kubernetes. ✅ Open Source System Management – Enterprise-level implementation of Apache Airflow, Spark, Trino, Flink, Kafka, Superset, Druid,ELK(Elasticsearch, Kibana, Logstash), Hadoop, Hdfs and Cassandra. ✅ Streaming Pipelines – High-performance data streaming solutions utilizing Kafka, Redis, Cassandra, MongoDB, and Flink with Java/Scala development. ✅ API Development – Production-ready Python APIs using FastAPI, Django, Flask, and distributed asynchronous services. ✅ Working capability any where on Cloud(AWS,GCP,Azure) or Special on-premises environment. ✅ Designing CI/CD solution's development environments. Terraform, Helm, Github Workflow, Gitlab-CI's. ✅ Implemented logging monitoring environments Grafana, Prometehus, Elasticsearch, Kibana, Logstash. Let's discuss how I can optimize your data infrastructure and unlock valuable insights for your business. Contact me today to start the conversation!

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!

I’m an AI Architect and Full-Stack developer focused on Azure OpenAI, Microsoft Fabric, RAG systems, .NET and Python. For more than 20 years I’ve been building end-to-end software solutions; in recent years my work has shifted almost entirely to Azure-based AI: RAG copilots, data agents, and smart workflows that sit on top of real business data (documents, spreadsheets, databases). What I do for clients: • Design and build RAG assistants using Azure OpenAI + Azure AI Search so users can ask questions in natural language and get grounded, source-linked answers. • Create data pipelines on Microsoft Fabric (Dataflow Gen2, Lakehouse, Delta tables, PySpark Notebooks) to clean, join and prepare billing, shipment and operational data. • Develop serverless indexers with Azure Functions + Blob Storage to ingest PDFs, templates and project files, enriching them with metadata for precise retrieval. • Implement robust .NET backends (C#, ASP.NET Core, Blazor) for APIs, authentication and post-processing of AI output (JSON→tables, validation, saving to SQL). • Build Blazor-based UIs so non-technical users can safely work with AI features in a familiar web interface. I’ve delivered production work for international clients (logistics, consulting, public sector) including: • A logistics copilot that connects Lakehouse tables and document indexes so teams can analyse shipping costs and rules without living in spreadsheets. • An assistant that auto-generates structured deliverables (plans, stakeholder matrices, trackers) from a short prompt, fully aligned to the client’s own templates. • A smart assessment/forms solution that turns PDFs into digital workflows, guides users step-by-step, and validates answers with RAG. I also run my own AI startup, supported by Microsoft for Startups with Azure credits, which I use to prototype and harden Azure-native AI architectures before applying them to client projects. If you need a practical Azure AI solution (RAG copilot, data platform or intelligent workflow) and want someone who can handle architecture, data engineering and code in one place, I’d be happy to discuss your project.

As a Data Engineer, I build and manage robust, end-to-end data systems designed for scalability and real-time performance. My experience covers the full data lifecycle: from automated data scraping and ingestion, through complex batch and stream processing, to the development of custom APIs and customer-facing analytical applications. I am proficient in cloud-native environments, leveraging containerization and orchestration to create resilient, microservice-based architectures. I focus on writing clean, efficient code and selecting the best technologies to solve complex data challenges in a practical and maintainable way. Technical Expertise Data Streaming & Real-Time Processing: Apache Kafka: Fluent in designing and operating high-throughput streaming platforms, including Confluent Kafka and Kafka Connect (Source/Sink connectors) deployed on Kubernetes. Apache Flink: Development of stateful, real-time stream processing applications. Apache Spark: Building and optimizing Spark Structured Streaming pipelines. Batch Processing & Big Data: Apache Spark: Extensive experience in large-scale batch ETL processing using PySpark across diverse data sources. Big Data Ecosystem: Proficient with Databricks, Hadoop, and Apache Hive. Data Orchestration & Workflow Automation: Apache Airflow: Designing, scheduling, and monitoring complex DAGs. Specialized experience using the KubernetesPodOperator for scalable, containerized task execution within Rancher-managed clusters. Apache NiFi: Building and managing automated data flows. Cloud, Containerization & DevOps: Cloud Platforms: AWS (S3, Redshift, Glue, Athena), GCP. Containerization: Docker, containerd. Orchestration: Kubernetes (K8s), including hands-on experience with minikube and k3s, managed via Rancher. Architecture: Designing and implementing Microservice Architectures. CI/CD: Jenkins, GitHub Actions, Git (GitHub, Bitbucket), version control, and branching strategies. Databases & Data Warehousing: NoSQL: Cassandra (daily operational use in production clusters), MongoDB, CouchDB. Analytical (OLAP): ClickHouse, Trino (PrestoSQL), Amazon Redshift. Relational (SQL): PostgreSQL, MySQL. Storage & Caching: Redis for application caching layers, MinIO for S3-compatible object storage. API Development & Embedded Analytics: API Development: Building performant web services and APIs using FastAPI and Python. Proficient with API testing tools like Postman. Embedded Analytics: Advanced development with Apache Superset, utilizing its REST API and Security API to build secure, custom shell applications for customer-facing analytics. Monitoring, Logging & Visualization: Log Management: Full implementation of the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation, analytics, and building monitoring dashboards. Metrics & Visualization: Grafana, Tableau, Power BI, Apache Superset. Programming, MLOps & Project Management: Languages: Python (incl. Pandas, NumPy), SQL, Bash. MLOps: MLflow for managing the machine learning lifecycle. Project Management: Atlassian Jira for Agile/Scrum sprint planning and task management. Data Scraping: Designing and operating automated data scraping pipelines using Puppeteer, Selenium, Playwright, and FlareSolverr. Notable Projects - Reddit Data Pipeline Developed an automated pipeline for extracting, transforming, and analyzing Reddit data. Leveraged NiFi, MinIO, Trino, and Tableau/Superset for a complete ETL process, enabling dynamic querying and visualization of high-velocity data streams. - OTP Data Pipeline Engineered a real-time pipeline for secure OTP generation and notifications, utilizing Kafka, Airflow, Cassandra, and MongoDB. Integrated email and Slack/Discord notifications for streamlined monitoring. - Yelp Sentiment Analysis Created a real-time streaming pipeline for Yelp reviews using Spark, Kafka, and Hugging Face’s DistilBERT. Visualized sentiment analysis insights in Kibana, showcasing the integration of machine learning with data engineering. - ELK Stack Log Management Set up a secure and scalable multi-node ELK Stack for log analytics, employing index lifecycle policies and creating drill-down dashboards in Kibana. Certifications and Education - IBM Data Engineering Specialization (Coursera) - Apache Kafka, ELK Stack, and NoSQL Databases (BTK Academy) - Machine Learning Specialization (Stanford, Coursera) - Data Engineering Nanodegree (Udacity)

7+ Years Experience | 70% Less Manual Reporting | 60% Faster Data Processing | 40% Faster Dashboards | 50% Faster Data-to-Insight | Power BI Developer | Data Visualization | Data Analyst Hello! I’m Alihan, a Power BI Developer, Data Visualization specialist, and Data Analyst focused on turning complex business data into clear dashboards, automated reports, and actionable insights. I help businesses replace fragmented spreadsheets, repetitive reporting tasks, and disconnected data sources with reliable Power BI dashboards and structured reporting systems. My work covers the complete business intelligence lifecycle, including data extraction, data cleaning, transformation, Data Modeling, DAX development, dashboard design, KPI definition, publishing, performance optimization, and ongoing reporting support. My Power BI Developer, Data Visualization, and Data Analyst work has helped reduce manual reporting time by up to 70%, reduce data processing time by 60%, improve dashboard load performance by 40%, reduce spreadsheet dependency by 50%, and shorten the path from raw data to actionable insights by up to 50%. As a Power BI Developer, I build interactive dashboards for sales, finance, marketing, operations, customer performance, executive reporting, and internal business processes. I create Power BI reports that are visually clear, technically reliable, and easy for teams to use in daily decision-making. As a Data Analyst, I work with raw business data to identify trends, performance gaps, operational patterns, and growth opportunities. I use Power BI, SQL, Excel, Power Query, DAX, and Data Visualization techniques to transform disconnected datasets into structured insights and decision-ready reports. My Power BI and Data Visualization work includes interactive KPI dashboards, executive reporting, sales performance dashboards, financial reporting, marketing analytics, operational reporting, customer and product analysis, Power Query development, DAX measures, calculated columns, Data Modeling, SQL analysis, Excel reporting, ETL, automated data refreshes, Row-Level Security, API connections, database integrations, and dashboard performance optimization. I build dashboards around practical business questions. Instead of displaying data without context, I structure each Power BI report around the KPIs, comparisons, targets, filters, and trends that decision-makers need to understand performance and take action. This approach has also helped improve reporting accuracy by up to 35% through better validation, standardized calculations, and centralized reporting logic. My Data Visualization approach focuses on clarity, hierarchy, and usability. I select the right charts, layouts, drill-down paths, filters, tooltips, and visual interactions to help users understand performance quickly. I also keep reporting consistent across executive, departmental, and operational levels. As a Power BI Developer, I connect and model data from Excel and CSV files, SQL databases, PostgreSQL, MySQL, CRM systems, ERP systems, marketing platforms, advertising tools, cloud data sources, APIs, and multiple reporting files. I combine these sources into clear data models that support reliable dashboards and scalable reporting. I use Power Query to clean, merge, structure, and transform data before building the reporting model. I use DAX to create calculated measures, time intelligence, year-over-year comparisons, targets, ratios, rolling metrics, variance analysis, and business-specific KPIs. I also improve existing Power BI dashboards by fixing Data Modeling issues, rewriting DAX measures, simplifying report logic, improving refresh and load times, reorganizing visuals, correcting filters, and making the overall reporting experience easier to understand and maintain. Clients work with me when they need a Power BI Developer who can build a dashboard from raw data, a Data Analyst who can turn business data into actionable insights, or a Data Visualization specialist who can make complex reporting easier to understand. I also support DAX development, Power Query transformation, KPI dashboard design, SQL and Excel analysis, API and database integration, reporting automation, existing dashboard redesign, data model optimization, performance improvements, and structured reporting documentation. I work closely with stakeholders to understand what they need to measure, where their data comes from, and how the final dashboard will support decisions. I then organize the data, define the reporting logic, build and test the Power BI dashboard, validate the outputs, and document the system for future use. My goal is not simply to create attractive charts. I build Power BI dashboards and Data Visualization systems that help teams understand their business, reduce recurring reporting work, and make faster, more confident decisions.