Hire the Best Data Engineers
in Turkey

Hey, i am a software student who is always learning. I can help you translate from english to turkish. I have experience with AI tools including Claude and ChatGPT. I can handle file uploads, data entry, and AI-related tasks with attention to detail.

I build code-first Python data systems that turn messy, scattered, or large datasets into clean, reliable, and usable workflows. ⭐ I am a Top Rated freelancer with 100% Job Success, several thousand dollars earned, and hands-on experience across data engineering, ETL pipelines, API integrations, data processing, backend development, automation, databases, and AI-ready datasets. My work usually involves: 🔹 Collecting, cleaning, transforming, and structuring data from files, APIs, databases, and external sources 🔹 Building reliable Python pipelines for repeatable data processing, exports, reporting, and workflow automation 🔹 Designing database-backed workflows for storing, querying, organizing, and exporting structured data 🔹 Preparing structured datasets and knowledge bases for analytics, machine learning, NLP, or LLM/RAG systems 🔹 Creating custom backend tools, data workflows, and lightweight dashboards when the project needs more than a one-time script Recent projects included processing and structuring large volumes of data, cleaning and automating tens of thousands of data records, building data-driven systems, exporting datasets from databases, and developing AI-ready data workflows for real-world applications. I focus on clear communication, careful implementation, and practical systems that are easy to understand, maintain, and extend.

I help companies maintain, modernize, and improve existing .NET applications. I am a Senior .NET Developer with 10+ years of experience working on enterprise systems using C#, ASP.NET Core, ASP.NET MVC, Web API, SQL Server, Entity Framework, messaging systems, and cloud-based deployments. My strongest area is working with existing .NET applications: understanding the codebase, finding risks, improving performance, refactoring legacy code, and adding new features without breaking the current system. What I can help you with: → Maintaining and improving existing .NET applications → Reviewing and modernizing legacy ASP.NET / ASP.NET Core systems → Building and improving REST APIs with C# and .NET → SQL Server performance review, query improvements, and schema understanding → Refactoring monolithic applications and improving architecture → Integrating RabbitMQ, Azure Service Bus, Redis, Elasticsearch, and external APIs → Improving reliability, scalability, security, and maintainability Examples of past work: • Modernized a legacy parking management backend by implementing .NET Core microservices, REST APIs, and RabbitMQ-based communication. • Integrated multiple carrier services into a unified package tracking system using C#, .NET Core, REST APIs, T-SQL, and Blazor. • Developed Web API services for mobile and admin applications, including JWT authentication and payment integrations. • Improved API performance and search quality for an ecommerce platform using .NET Web API, Elasticsearch, and Azure Service Bus. • Built a document management system with .NET Core and SQL Server using clean architecture and SOLID principles. Tech stack: C#, .NET, ASP.NET Core, ASP.NET MVC, ASP.NET Web API, Entity Framework, SQL Server, PostgreSQL, MySQL, REST APIs, Azure, Azure DevOps, Azure Service Bus, AWS EC2/S3, Docker, RabbitMQ, Redis, Elasticsearch, MongoDB, Blazor, React. How I work: • Clear communication and regular progress updates • Careful review before making changes • Clean, maintainable code • Practical solutions instead of unnecessary over-engineering • Comfortable working with legacy systems, audits, maintenance, and long-term improvements If you have an existing .NET application that needs maintenance, modernization, performance improvements, or new feature development, I would be happy to discuss how I can help.

As a Genetics and Bioengineering graduate and Bioinformatics Developer, I bridge the gap between wet-lab bioprocesses and dry-lab computational pipelines. I build production-grade, modular Python workflows engineered to clean, analyze, and interpret complex genomic data for biotechnology startups and clinical research laboratories. My engineering approach combines automated bio-pipelines with biostatistical modeling to extract actionable patterns from high-dimensional biological datasets, delivering structured, publication-quality reports without command-line complexities. Core Expertise: Next-Generation Sequencing (NGS) & RNA-Seq: Short- and long-read data processing (FASTQ/FASTA/SAM/BAM), automated quality control (QC), and Differential Gene Expression (DGE) workflows. pip NCBI BLAST & Primer Design: Custom pipeline integration with NCBI BLAST APIs, automated primer/probe design validation, and database curation. Clinical Genomics: High-priority variant analysis (VCF parsing), mutation interpretation, and pathogenic SNP isolation. Machine Learning & Biostatistics: Implementing predictive statistical models (stochastic modeling) and machine learning-driven analysis using the Python scientific stack. Bio-Visualization: Transforming raw data frames into publication-quality (Nature standard) figures (Volcano plots, Heatmaps, PCA) and interactive HTML dashboards. Tools & Technologies: • Languages & Environments: Python (NumPy, SciPy, Pandas, scikit-learn), PyCharm IDE, cross-platform workflow integration. • Bioinformatics Tools: Biopython, NCBI E-utilities, custom sequence-alignment parsers, genomic database APIs. What You Get: ✓ Reproducible, Turnkey Workflows: Clean, well-documented, and modular Python scripts designed to execute reliably with single-click parameters. ✓ End-to-End Systems Thinking: Complete technical alignment that respects both your wet-lab experimental constraints and your downstream digital outputs. ✓ Data Integrity First: High-performance automation engineered with strict memory-isolation protocols to prevent primary database contamination. If you are working on NGS pipelines, RNA-Seq analysis, automated primer design, or require robust bio-computational automation to power your research platform, let’s connect via Upwork messages.

I build the spatial data layer and the map that sits on top of it. Most of my work is PostGIS and dbt pipelines that turn messy geodata into something a product can query in milliseconds, plus the interactive maps that make it usable. 🗄️ SPATIAL DATA ENGINEERING PostGIS modeling, spatial ETL, dbt warehouses. On my largest ongoing project: • 377-model dbt project on PostGIS, 8.6 million parcel records, statewide • Index strategy, incremental builds, Airflow orchestration • Rewrote a join from 92M nested-loop comparisons to an indexed unnest join, measured 126x faster • Cold vector tiles taken from 15-25 seconds down to 0.3-0.7 seconds 🗺️ INTERACTIVE MAPS • Mapbox GL JS, Leaflet, MapLibre, OpenLayers, deck.gl • Clustering that stays fast at scale, in-database vector tiles • Choropleths, heatmaps, 3D terrain, custom canvas layers when the standard ones are too slow ⚙️ FULL-STACK GIS PROTOTYPES When you are not sure yet if something is buildable, I build the small version first and measure it. • Python (FastAPI, Django/GeoDjango, shapely, GDAL) or Node.js on the backend • PostGIS underneath, a real map on the front 🛰️ SATELLITE & REMOTE SENSING • Google Earth Engine, Open Data Cube, Sentinel-1 SAR, Sentinel-2, Landsat, Himawari SST • 36-year Landsat surface water history for Australian Ramsar wetlands • Sentinel-1 radar screening for oil spills at sea 🧰 STACK • Data: PostGIS, PostgreSQL, dbt, Python, Node.js, Airflow, GDAL/ogr2ogr, spatial SQL optimization • Maps: Mapbox GL JS, Leaflet, MapLibre, OpenLayers, deck.gl, vector tiles (MVT), PMTiles, GeoJSON • Backend: Django/GeoDjango, FastAPI, Express, REST APIs • Infra: AWS, Azure, Docker, CI/CD, GeoServer, QGIS • Raster: Sentinel, Landsat, GeoTIFF, raster processing, zonal statistics 🤝 HOW I WORK I am not only a developer. I tell clients what will not work before they spend money on it, and I would rather measure something than promise a number I cannot back. Several of my clients have stayed with me for years, one of them for over 900 hours on a single ongoing project, and that is the part of my record I am most proud of. On Upwork: Top Rated Plus, 100% job success, 78 projects, 2,284 hours. Live demos of my mapping work are in the portfolio section below. If you have spatial data that is slow, messy, or stuck in files nobody can query, or you need a map that actually performs, send me the details and I will tell you honestly whether I am the right person for it.

I build clean, fast websites and Shopify stores that actually work — not just look good. I'm a full-stack engineer based in İzmir, Turkey with 1.5 years of production backend experience and a shipped Shopify app (Craite) that's live on the App Store. I've built everything from government-grade API integrations to e-commerce systems, so I know what makes a web project succeed technically. What I can help you with: Custom Shopify store setup, theme customization, and app integrations Business websites (landing pages, company sites, portfolios) Fixing broken functionality, slow load times, or messy code Connecting third-party tools, payment systems, or APIs to your site I work independently, communicate clearly, and don't disappear mid-project. If you have a specific deadline or budget, tell me upfront — I'll be honest about what's realistic. Feel free to message me before hiring. I'm happy to look at your current site or requirements and give you a quick honest opinion.