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If you need healthcare data pipelines, analytics systems, AI-powered workflows, or biostatistical analysis, I can help you develop a reliable solution tailored to your project. I combine healthcare data engineering and biostatistics with clinical research experience demonstrated by 62 medical articles indexed in PubMed. I CAN HELP YOU WITH: Data Engineering & AI • Build and maintain production ETL/ELT pipelines • Develop and manage Apache Airflow and Google Cloud Composer workflows • Design BigQuery pipelines, SQL transformations, and analytics systems • Integrate EHR platforms, third-party APIs, and external data sources • Automate manual file transfers and system-to-system data movement • Extract structured clinical data from PDFs, scanned documents, and laboratory reports • Build controlled AI-agent workflows for healthcare data • Automate KPI dashboards and recurring reports • Develop machine-learning solutions for healthcare analytics Biostatistics & Clinical Research • Analyze clinical, observational, and survey data using Python or IBM SPSS • Prepare descriptive statistics and hypothesis tests • Perform linear and logistic regression analyses • Conduct survival analysis • Apply parametric methods, including t-tests, ANOVA, ANCOVA, MANOVA, and repeated-measures ANOVA • Apply nonparametric methods, including Mann–Whitney U, Kruskal–Wallis, Wilcoxon signed-rank, and Friedman tests • Interpret statistical findings in their clinical and scientific context • Create publication-ready tables, figures, and statistical summaries • Review statistical methods and results sections for manuscripts • Communicate findings clearly to clinicians, researchers, and nontechnical stakeholders Send me a brief description of your project. For statistical work, you may also share the research question, dataset structure, or a de-identified sample. I can provide a complimentary preliminary scope review and suggest practical solution options. If one of those approaches fits your needs, we can then discuss the implementation details. WHY WORK WITH ME? My background combines production data engineering with genuine clinical and research experience. Before moving into technology, I worked as a medical doctor and researcher who published 62 medical articles indexed in PubMed. This experience enables me to understand both the technical architecture and the real-world meaning of healthcare data. I know that a statistically correct result must also be clinically meaningful and that a technically functional system must be reliable, maintainable, and appropriate for its healthcare environment. I can work directly with medical terminology, research questions, clinical outcomes, and study documentation without requiring clients to translate the clinical context into purely technical language. Selected experience: • Built AI-assisted workflows that extract laboratory data from unstructured PDF reports and load structured results into BigQuery • Developed and maintained healthcare data pipelines integrating multiple EHR and external data sources • Optimized Google Cloud Composer workloads to improve reliability and control infrastructure costs • Developed machine-learning and anomaly-detection pipelines for IoT monitoring data • Conducted biostatistical analyses for clinical research and peer-reviewed publications Core technologies: Python, SQL, Apache Airflow, Google Cloud Composer, BigQuery, dbt, GCP, Docker, Pandas, NumPy, scikit-learn, XGBoost, LangChain, Agno, Kafka, REST APIs and IBM SPSS.

🐬I am available online between 8:00 a.m and 16:00 p.m. on UTC+3, for seven 7 days a week including Saturdays and Sundays, for training, tutoring, workshops, meetings, and development work 🐬 ⭐⭐⭐ Data Studio (Looker Studio) Development ⭐⭐⭐ 💧Create Google Data Studio (Looker Studio) Reports from BigQuery SQL and from Google Sheets 💧Table Charts 💧Pivot Table Charts 💧Bar and Column Charts 💧Line and Combo Charts 💧Time Series Charts 💧Scorecard Charts 💧Funnel Charts 💧Pie Charts 💧Gauge Charts 💧Scatter Charts and Bubble Charts 💧Waterfall Charts 💧Boxplot Charts I write documentations on the Data Studio Reports I worked on. You can find some of these documents in my portfolio. ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ ⭐⭐⭐ SQL Queries Training / Tutoring on Google Cloud BigQuery ⭐⭐⭐ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ 🌳🌳🌳These are the topics I can go through during the training sessions with lots of hands-on examples: 🌳Create the training tables on Google BigQuery, for hands-on practices. I have a PDF document in my portfolio titled "How to Create a Table in BigQuery from a local CSV file" that can be used before / during the tutoring. 🌳SQL Queries, DISTINCT Clause, WHERE, NULL in Queries, IN, LIKE, BETWEEN, Logical Operators AND, OR, NOT 🌳ORDER BY Clause 🌳Multi-Table Joins, OUTER JOIN, SELF JOIN 🌳Aggregate Functions GROUP BY, HAVING, SUM, MIN, MAX, AVG, COUNT DISTINCT 🌳Navigation Functions FIRST_VALUE, LAST_VALUE, NTH_VALUE, LAG, LEAD 🌳RANK, DENSE_RANK 🌳SUBQUERIES 🌳Topics of Your Choice 🌳🌳🌳 🌍🌎🌏Web Document on SQL🌍🌎🌏 I wrote an extensive web document on SQL which resides in GitHub pages, called 🌿Kaye is Learning SQL🌳 This web document covers the following topics, and is aimed at beginners and intermediates in SQL. 💧Database Concepts: A Relational Approach 💧Data Modeling and Normalization 💧Oracle Tables 💧Oracle Integrity Constraints 💧Oracle Queries 💧Multi-Table Joins 💧Aggregate Functions 💧Subqueries I prepared the Training Database of 🌿Kaye is Learning SQL🌳 myself, taking the European Parliament elections data of 2004-2009. Although written on Oracle, the SQL commands are easily transferable among other SQL-based databases. For example, I deliver these topics now on Google Cloud BigQuery. 🌍🌎🌏🌍🌎🌏🌍🌍🌎🌏🌎🌏 💎I accumulated hands-on SQL experience over the years, mainly on Oracle tools like Oracle Data Integrator (ODI) - an ETL Tool, Oracle Business Intelligence Enterprise Edition (OBIEE) - a Reporting Tool, Oracle BI Publisher - a Reporting Tool, Oracle Discoverer - a Reporting Tool , Oracle Reports, and Oracle Forms. I have written innumerous ad-hoc reports in SQL for business users. 💎I have hands-on SQL experience on Google Cloud BigQuery. 💎I delivered SQL Trainings to Oracle Customers in several cities in Turkey. 💎I delivered SQL trainings at a university as part of their "evening programs". 💎I delivered SQL trainings "in-house to my colleagues" in my several workplaces. 💎In summary, I have a great many years of hands-on SQL experience, as well as SQL Training and Tutoring experience. 🐬I am available online between 8:00 a.m and 16:00 p.m. on UTC+3, for seven 7 days a week including Saturdays and Sundays, for training, tutoring, workshops, meetings, and development work 🐬

Senior Dynamics 365 F&O / AX 2012 consultant (18+ yrs). I fix security, reporting, and integrations quickly and safely. $9K+ earned on Upwork. I help teams ship secure, reliable D365 solutions—fast. From role/duty/privilege design and audit-friendly access reviews to rock-solid SSRS/Power BI reporting and data integrations, I focus on outcomes and clear documentation. What I deliver • Security & Compliance: Role/Duty/Privilege design, SoD-friendly changes, database log/audit, access reviews. • Reporting & Analytics: SSRS in F&O/AX, Power BI (BYOD), scheduled refresh & KPIs. • Integrations: Data Entities/DMF, OData & custom services (REST/SOAP), Power Automate/Logic Apps, robust retries & error handling. • Customizations: X++ forms/reports, data model changes, batch jobs, workflows, alerts. • DevOps & Environments: DevBox/LCS setup, Azure DevOps pipelines, code promotion, performance tuning. • Data Management: Imports/exports, mapping & validation, cutover support. Recent wins • Built a clean D365 F&O security baseline with role hierarchy & audit logs. • Delivered SSRS + Power BI dashboards via BYOD for finance & sales. • Implemented OData + custom service integrations with telemetry & retries, reduced support noise. • Set up DevBox & CI/CD to cut deployment friction and lead times. Bonus — AI & Automation Need automated emails, report summaries, Slack/Teams alerts, or lead workflows around D365? I also build Make.com/Zapier + OpenAI automations that reduce manual ops. Tech stack D365 F&O, AX 2012, X++, SSRS, Power BI (BYOD), Data Entities/DMF, OData/REST/SOAP, Azure DevOps, Power Automate/Logic Apps, SQL Server. Next step Share a short description or screenshot of your issue; I’ll reply with the approach, estimate, and risks in one message.

🍏 With a proven track record of success, I’m ready to help you achieve your goals. Let’s connect and discuss how I can bring my expertise to your project. Reach out today! ❇️ 20+ Years of Experience ✓ Solution-oriented DevOps Expert, focused on making your infrastructure optimized, stable and reliable, working with maximum efficiency for your business ✓ Strong experience architecting, running and managing complex systems and infrastructures ✓ Main focuses - Security, automation, optimization, monitoring and alerting in Cloud or large-scale server environments ✓ Highly skilled - with cloud platforms like MS365, Google Workspace, Azure, AWS and GCP infrastructures

Your business runs on data — leads, contacts, records — but it's scattered across sites, sheets and tools, and someone on your team is still copying it by hand. I build the automated systems that make that work disappear. ⭐ Top Rated · 100% Job Success · $10K+ Earned · 600+ hours delivered Hi, I'm Caner 👋 My foundation is in mathematics and data science — it's how I first learned to code — and it grew into building production data & automation systems. That's how I work: precise, structured, and built so nothing breaks silently. 🚀 A recent result: I built a custom extraction system that collected and enriched 100,000+ contacts across 19 data fields — 1.9 million data points. By hand, that's over 2 years of full-time work. I engineered the extraction logic for each source and solved the anti-bot challenges directly, using AI agents only where deterministic code fell short (like email discovery) — keeping running costs low. Other work: ✅ Verified B2C lead-list systems (Ontario, Canada) — 5-star rated ✅ An AI Agent web scraper a client called "the most skilled and detailed developer I've worked with" ✅ Currently building an ongoing researcher contact-enrichment pipeline (Python, Supabase, APIs, scraping) The problem I usually solve: Data lives in ten places. Leads slip between channels. Reports are built by hand every week. You know time and money are leaking somewhere — but the current setup makes it hard to see where. I turn that mess into one system that collects, cleans, enriches and moves your data automatically. 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗜 𝗯𝘂𝗶𝗹𝗱: • AI agents & LLM workflows — automations that classify, summarise, enrich and act on your data (Python, OpenAI/Claude APIs) • Automation & ETL pipelines — lead gen → enrichment → CRM/Sheets → outreach (n8n, Python) • Data analysis & dashboards — clean, structure and analyze data into clear insights and live dashboards (Pandas, SQL, PostgreSQL, Supabase), backed by a strong mathematical foundation • Data collection & scraping — when a project needs external data, resilient anti-bot scrapers (Playwright, Selenium) feed clean, verified data straight into the pipeline ⚙️ I build what actually fits — not the flashiest option. Fully "hands-off" data systems only work when the source is fixed and stable. When sources change or block you, it takes real engineering — the right architecture, an anti-bot strategy where needed, and AI used only where it genuinely adds value. Sometimes the right answer is an AI agent; sometimes it's a cleaner pipeline or one source of truth instead of five tools. I'll tell you honestly which one your project needs — and keep your costs down while I'm at it. 🏗️ Built to maintain, not to throw away. Each data source is engineered as a reusable module — not a disposable one-off script. When target sites change their structure (which they do every few months), refreshing the whole system takes days instead of a rebuild from scratch: what would be a 3–4 month rebuild becomes a 1–2 week update. That's what makes it viable for large companies running data operations at scale — no constant babysitting, low long-term maintenance cost. Why clients keep me: ✅ Fault-tolerant by design — no silent failures, no data loss, no schema drift ✅ 0–4 hour response time and clear, honest communication ✅ Delivered exactly what's promised, on time What clients said: "…the most skilled and detailed developer I have worked with." "He goes above and beyond and always delivers!" If your data or lead process is creating manual work or hiding revenue somewhere it shouldn't — send me a message and let's map out the system that fixes it. 🚀

I graduated Bahçeşehir University. I studied at the department of electrical and electronics engineering. Previously, I worked as an intern at Heweso Web Design and E-commerce Solutions. I made a project at school called "Infinity Mirror Clock".As a group, we did a project called "Autonomous WhiteBoard Eraser". As a foreign language, I know English at a good level, I know German at a beginner level. I worked at Yıldırım Group in software development and SAP Basis departmants. Now currently Im working at NTT Data Business Solutions as SAP Basis Consultant.