I close the gap between "works in demos" and "holds up in production." With 20+ years of engineering experience, I specialize in taking LLM-based systems, RAG pipelines, and data platforms from prototype to production-grade on AWS. I've built clinical AI agents for regulated healthcare environments, production RAG chatbots that reduced analysis time by 30%, and real-time streaming pipelines with 81% latency reduction. I don't just build AI systems — I make them fast, stable, and reliable under real usage. What I bring to your project: deep hands-on experience across the full AI + data stack — RAG pipelines, agentic workflows, MLOps infrastructure, and the AWS data platforms that power them. I think in terms of P95 latency, edge case failure rates, and production reliability, not just demo performance. AI & ML: RAG pipelines · LangChain/LangGraph · LlamaIndex · AI agents · vector search (FAISS, Pinecone, OpenSearch) · LoRA/QLoRA fine-tuning · MLflow · AWS Bedrock · OpenAI · Anthropic · PyTorch · Hugging Face Data Engineering: ETL/ELT · data lakes/lakehouses · Delta Lake · Apache Spark · Databricks · Kafka · Flink · Kinesis · schema modeling · governance Cloud & Infrastructure: AWS (ECS, Lambda, SageMaker, Glue, EMR, Redshift, DynamoDB, S3, Athena, CloudWatch) · Terraform · Docker · Kubernetes · GitHub Actions · Airflow Languages: Python · SQL · Java · PySpark · Bash

I am a Senior Data Analyst with over eight years of experience specializing in Property and Casualty insurance, marketplace, and financial services. I excel in analytics engineering, decision science, and business intelligence, leveraging advanced SQL on Snowflake, dbt transformations, and Python modeling. My expertise includes building robust dimensional models, designing experiments, and managing end-to-end source-to-target migrations. I transform ambiguous business questions into reliable data products that drive strategic decisions for Claims, Underwriting, Finance, Operations, and Distribution teams. With a proven track record of delivering quantifiable business impact and fostering cross-functional collaboration, I am dedicated to mentoring others in the field. If you're seeking a data expert who can unlock insights and support your business goals, I look forward to discussing your project.

Full Stack & Data Engineering Specialist I'm a versatile Engineer with 5+ years of expertise spanning full stack development, data engineering, and system design. My experience encompasses building enterprise-scale applications, data pipelines, and distributed systems that serve millions of users. Core Technical Expertise: Frontend Development - Expert in React.js, Next.js 14 (App Router), and TypeScript - Proficient with modern UI libraries (shadcn/ui, Material-UI) and TailwindCSS - Specialist in data visualization using D3.js, Three.js, and Chart.js Backend & System Design - Advanced expertise in Python frameworks: FastAPI, Django, Flask - Microservices architecture design handling 50K+ requests/second - Experience with GraphQL, gRPC, and REST API design - Strong knowledge of distributed systems and event-driven architecture Data Engineering & Analytics - Expert in building ETL pipelines using Apache Spark, Airflow, and Kafka - Proficient with data processing using Pandas, NumPy, and PySpark - Experience with real-time streaming analytics and data warehousing - Skilled in ML model deployment and monitoring Database & Infrastructure - Extensive experience with PostgreSQL, MongoDB, Redis, Elasticsearch - Expertise in message queues: Kafka, RabbitMQ, AWS SQS - Proficient with AWS (20+ services), Docker, and Kubernetes - Implementation of caching strategies and performance optimization Notable Achievements: - Reduced system latency by 70% through architecture optimization - Built systems handling 50K+ requests/second with 99.99% uptime - Processed 10TB+ data daily with 80% reduction in processing time - Decreased infrastructure costs by 40% through efficient design - Created reusable component libraries with 100% test coverage - Published multiple technical libraries Recent Project Highlights: Enterprise Solutions 1. Analytics & Data Platform - Processed 1M+ daily events with 5ms response time - Implemented 15+ interactive visualizations - Built real-time data pipelines with Kafka and Spark - Created automated ETL workflows using Airflow 2. Learning Management System - Served 100K+ active users - Implemented automated grading system with ML integration - Reduced API response time by 70% through Redis caching - Processed 50GB+ daily student data 3. Distributed Cache System - Built high-performance caching solution using Redis Cluster - Implemented cache coherency and eviction strategies - Achieved 99.9% availability - Created comprehensive monitoring and backup systems Data Engineering Projects 1. Real-time Processing System - Processed 100K+ events/second using Kafka - Implemented exactly-once delivery - Achieved sub-second latency - Built comprehensive monitoring dashboard 2. Data Warehouse Solution - Implemented using Snowflake and dbt - Created transformation logic and data modeling - Built automated data pipelines - Implemented governance and security controls 3. Feature Store Platform - Built ML feature computation and serving layer - Implemented versioning and monitoring - Created API interface with caching - Added comprehensive access controls Specialized Skills: - System Design & Architecture - Performance Optimization - Data Pipeline Development - Real-time Processing Systems - Machine Learning Operations - Security Implementation - DevOps & CI/CD - Technical Documentation I excel in delivering: - Scalable web applications and distributed systems - High-performance data processing pipelines - Real-time analytics and visualization solutions - Machine learning model deployment systems - Enterprise-grade architectural solutions My comprehensive technical background, attention to detail, and strong communication skills ensure successful project delivery across various domains. I'm available for both complex long-term projects and targeted short-term engagements, particularly those requiring innovative solutions in full stack development, data engineering, or system design.

Computer Science graduate with hands-on experience in data engineering, analytics, backend systems, and AI-related data tasks. Skilled in building reliable and well-structured data solutions using SQL, Snowflake, Python, Azure, Matillion, Airflow, and cloud-based workflows. Experienced in ETL/ELT processes, data modeling, API integrations, troubleshooting, and maintaining scalable data pipelines that support reporting, automation, and business operations. In addition to technical expertise, I am a native Amharic speaker with strong English communication skills and experience supporting AI data annotation, transcription, voice and language evaluation, quality review, and structured data analysis tasks. I am detail-oriented, adaptable, and focused on delivering accurate, practical, and high-quality work. I also have solid web development knowledge using PHP, HTML, CSS, JavaScript, and Bootstrap, allowing me to support both backend and web-related projects effectively.

With a strong foundation in Mathematics, Data Engineering, AI, and Cloud Technologies, I specialize in designing and implementing 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, and 𝐜𝐥𝐨𝐮𝐝-𝐧𝐚𝐭𝐢𝐯𝐞 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬. My expertise lies in SQL, Python, Spark-hadoop architecture, Databricks, GCP, AWS, and MLOps enabling businesses to unlock insights, optimise performance, and drive AI-powered innovation. I led data teams, with agile work management, driving strategic data initiatives through mentorship, stakeholder collaboration, budget optimization, and a strong commitment to Equality, Diversity, and Inclusion (EDI). 🔹 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Architected end-to-end data solutions, including 𝗦𝗤𝗟 𝗦𝗲𝗿𝘃𝗲𝗿 to 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆 and 𝗧𝗲𝗿𝗮𝗱𝗮𝘁𝗮 to 𝗦𝗽𝗮𝗿𝗸-𝗵𝗮𝗱𝗼𝗼𝗽 architecture migrations, ETL/ELT pipelines, and real-time data processing 🔹 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Built ML models using AWS Sagemaker, Tensorflow, Vertex AI, Document AI, Jupyter notebooks for fraud detection, predictive analytics and Fair AI ensuring transparency, data compliance and ethical AI adoption in data lifecycle management 🔹 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Engineered cost-optimised, high-performance data warehouses, leveraging Data Lake, Databricks, dbt, EMR, Dataproc, PySpark, Cloudera, Kafka, Tableau and Looker for BI solutions 🔹 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐞𝐯𝐎𝐩𝐬: Streamlined deployments with CI/CD (GitHub Actions, Terraform, Cloud Build), improving infrastructure scalability and security. 🔹 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 & 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Published research in 𝐩𝐫𝐞𝐬𝐭𝐢𝐠𝐢𝐨𝐮𝐬 𝐯𝐞𝐧𝐮𝐞𝐬 (𝐀𝐂𝐌, 𝐄𝐥𝐬𝐞𝐯𝐢𝐞𝐫) on AI fairness, fraud detection, and intelligent systems. I thrive at the intersection of 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲, 𝐩𝐫𝐨𝐛𝐥𝐞𝐦-𝐬𝐨𝐥𝐯𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐢𝐦𝐩𝐚𝐜𝐭, turning complex data challenges into efficient, scalable, and AI-driven solutions. If you're looking for someone to 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞, 𝐬𝐜𝐚𝐥𝐞 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, or 𝐦𝐢𝐠𝐫𝐚𝐭𝐞 𝐭𝐨 𝐭𝐡𝐞 𝐜𝐥𝐨𝐮𝐝—let’s connect!

I am a Snowflake Data Engineer specializing in building cloud data warehouses and automated data pipelines. I design end-to-end solutions including raw data ingestion, transformation, and analytics modeling. I have experience implementing Medallion Architecture (Bronze, Silver, Gold layers), star schema modeling, and SCD Type-2 historical tracking using MERGE statements in Snowflake. My technical stack: Snowflake • SQL • Data Modeling • Streams & Tasks • ETL/ELT Pipelines • Python • Streamlit Dashboards I can help with: – Snowflake assignments and debugging – SQL query writing and optimization – Data warehouse schema design – Automated data pipelines – Analytics dashboards I focus on clear communication and quick turnaround. I also explain the solution so you understand the system, not just receive the code.

SUMMARY * Data Analyst with over 7 years of experience in data visualization, data modeling, and business analytics, specializing in decision-making support, with expertise in Python, SQL,Tableau, and Power BI. * Developed automated data workflows and scalable ETL processes, enhancing data accessibility and significantly reducing processing time in large-scale business environments. Leveraged data-driven insights to enhance customer engagement, increasing retention rates by up to 15%, optimize sales strategies, driving a 5% revenue growth, and improve operational efficiency by reducing manual processes by 40%. * Proven track record in marketing analytics and business intelligence at Smart Fit, a leading fitness company with over 1,500 stores and 2.5 million customers.

I’m a Data Engineer and Architect with over 17 years of experience building scalable data solutions for global leaders like CEMEX, Heineken, and Metalsa. Whether you need to develop robust data pipelines, integrate complex APIs, or build high-level analytics platforms, I can help. - Expertise in Programming & ETL: * Proficient in Python, C#, C++, and Java for custom data processing and software development. * Advanced orchestration using Azure Data Factory, Fivetran, dbt, and MS Integration Services (SSIS). * Seamless data transportation from SAP HANA, Oracle, and APIs into Snowflake or Azure SQL. - Advanced Visualization & BI: * Full development of interactive dashboards in Power BI, Tableau, QlikView, and Qlik Sense. * Specialized reporting with Crystal Reports and institutional formatting for end-users. - End-to-End Project Management: * Automation of financial balances, manufacturing KPIs, and predictive maintenance forecasting.Bridge the gap between technical architecture and business objectives.

🎖LinkedIn - TOP VOICE🎖 - With over 7 years of experience in data analytics, data engineering, and data warehousing, I have worked with both cloud and on-prem technologies. - Skills: - AWS, GCP - Apache Spark - Airflow, Talend, Fivetran - Snowflake, Greenplum, Databricks - Hadoop - MySQL, PostgreSQL - Power BI, Tableau, IBM Cognos - Python, Dbt, Docker, Kubernetes - Git - Data Engineering: - I have created robust data pipelines using Python, AWS Pipelines, SSIS, and SQL. - I have successfully completed 25+ projects including web scraping, ETL, API, and document processing. - Data Visualization: - I have created over 50 interactive dashboards using MS Power BI, SSRS, Amazon QuickSight, IBM Cognos, and Excel. - My actionable reports have been used in diverse sectors such as marketing, call centers, and investments. - Data Analysis and ML: - I have implemented machine learning models. - Data Management: - I have expertise in database and warehouse design using Snowflake, Redshift, Greenplum, MS SQL, SSAS, SSIS, and Athena. - I am an expert in Snowflake and Redshift. - Web Scraping and API Development: - I am skilled in accurate web scraping using Beautiful Soup, Scrapy, and Python. I have a proven track record in complex data solutions and cutting-edge tech utilization, ensuring data-driven strategies for business innovation.

𝗕𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗦𝗤𝗟 & 𝗣𝘆𝘁𝗵𝗼𝗻 𝗘𝗧𝗟 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Data & Analytics Engineer focused on building 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗘𝗧𝗟 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, analytics-ready datasets, and business intelligence solutions using 𝗦𝗤𝗟, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗔𝗽𝗮𝗰𝗵𝗲 𝗔𝗶𝗿𝗳𝗹𝗼𝘄, and 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜. I help businesses transform raw and fragmented data into 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱, scalable, and reporting-ready systems for analytics and 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴. ✔️ 𝗕𝗜 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 reporting datasets, 𝗞𝗣𝗜 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗦𝗤𝗟 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻𝘀, 𝗱𝗮𝘁𝗮 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴, dashboard backend preparation, reporting automation, business intelligence workflows ✔️ 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝗧𝗟/𝗘𝗟𝗧 pipelines with 𝗣𝘆𝘁𝗵𝗼𝗻 and 𝗦𝗤𝗟, workflow orchestration with 𝗔𝗽𝗮𝗰𝗵𝗲 𝗔𝗶𝗿𝗳𝗹𝗼𝘄, API integrations, automated data processing, Docker-based environments, data cleaning and transformation ✔️ 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗦𝗰𝗿𝗮𝗽𝘆, 𝗣𝗹𝗮𝘆𝘄𝗿𝗶𝗴𝗵𝘁, automated data extraction, browser automation, web data collection workflows ✔️ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗧𝗼𝗼𝗹𝘀 PostgreSQL, MySQL, 𝗦𝗤𝗟 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, Pandas, Excel automation, Git, 𝗗𝗼𝗰𝗸𝗲𝗿, analytics workflow development Focused on building maintainable, business-oriented, and 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 with clear communication and reliable delivery.