⭐⭐⭐⭐⭐ Data isn’t just numbers — it’s the language of decisions, and I speak it fluently. I’m a Principal Data Engineer with 10+ years of experience designing and building real time data platforms across AWS, Azure, and GCP. I help organizations transform raw data into actionable insights by developing reliable ETL/ELT pipelines, data warehouses, and lakehouse architectures optimized for performance and cost. 💡 What I Deliver - End-to-end ETL/ELT pipeline design: data ingestion → transformation → analytics - Cloud data engineering across AWS (Glue, Redshift, Lambda), Azure (Synapse, Data Factory), and GCP (BigQuery, Dataflow) - Modern data lakehouse solutions using Databricks, Snowflake, and Delta Lake - Workflow orchestration with Airflow, dbt, and Prefect - Data modeling, governance, and quality frameworks for analytics and AI systems ⚙️ Core Tech Stack - Languages: Python (PySpark, Pandas), SQL, Bash - Cloud: AWS • Azure • GCP - ETL Tools: Databricks, dbt, Airflow, Azure Data Factory - Warehousing: Snowflake, Redshift, BigQuery, Delta Lake - DevOps / CI-CD: Docker, Terraform, GitHub Actions - Data Quality: Great Expectations, Soda 🤝 How I Work - Clear, proactive communication and fast response time - Production grade, data systems with clean architecture -Transparent delivery, detailed documentation, and agile collaboration I’m passionate about helping data-driven organizations modernize their data ecosystem, enhance observability, and achieve faster, more reliable analytics. 📩 Let’s connect to design or optimise your cloud data platform for the future.

🎁𝗔 𝟭𝟬𝟬% 𝗿𝗲𝗳𝘂𝗻𝗱𝗲𝗱 𝗶𝗳 𝗜 𝗰𝗮𝗻'𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿. 𝗡𝗼 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗮𝘀𝗸𝗲𝗱! 𝗛𝗲𝘆 𝗜'𝗺 𝗨𝗺𝗲𝗿 𝗭𝗼𝗵𝗮𝗶𝗯! 🚀 Turning Complex Data into Clear, Actionable Insights | Analytics Engineer & Data Visualization Expert Do you struggle with messy, unorganized data that doesn’t tell the full story? Or dashboards that fail to provide meaningful insights? That’s where I come in. I’m an experienced Analytics Engineer with 5+ years of expertise in data modeling, transformation, and visualization. My focus is on building clean, reliable data pipelines and designing interactive dashboards that transform raw data into powerful business intelligence. ✅ What I Can Help You With → Data Modeling & Transformation Build scalable ELT/ETL pipelines using SQL, dbt, and Python to ensure high-quality, analytics-ready datasets. → Data Warehousing Design and manage cloud-based data warehouses (Snowflake, BigQuery, Redshift) with governance, lineage, and scalability in mind. → Dashboard Development Create visually appealing, interactive dashboards in Power BI, Tableau, and Looker that provide real-time insights. → Data Storytelling Translate raw data into intuitive reports that highlight trends, KPIs, and actionable business opportunities. → Automation & Reporting Set up automated reporting workflows to save time and reduce manual effort. 🛠 Tech Stack & Tools Languages & Transformation ✔ SQL, Python (Pandas, NumPy), dbt, Apache Airflow Data Warehousing ✔ Google BigQuery, Snowflake, Amazon Redshift, PostgreSQL Visualization & BI Tools ✔ Tableau, Power BI, Looker, Metabase, Data Studio Collaboration & Version Control ✔ Git, GitHub, Jira, Confluence Cloud Platforms ✔ AWS, Google Cloud Platform (GCP) 🎯 Why Work With Me? - 5+ years of experience in analytics engineering and visualization projects - Strong blend of technical data skills and design sense for impactful dashboards - Deliver well-documented, scalable solutions that your team can rely on long-term - Clear communication, reliable project delivery, and client-focused mindset

I empower data teams and technical founders to move from data chaos to data-driven decision-making by building scalable Data platform using Modern data stake ( Databricks, Lakehouse, Vector DB, Medallion Archtecture), optimizing query performance, and establishing governance frameworks that enable fast, reliable insights. I've helped enterprises consolidate multi-terabyte datasets for 50+ stakeholders with 95%+ accuracy, delivered 30% performance improvements that cut processing time by hours, and reduced infrastructure costs by 25%, all while ensuring 99%+ data reliability and regulatory compliance. 📋 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 As a 𝘊𝘭𝘰𝘶𝘥 𝘋𝘢𝘵𝘢 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳 𝘸𝘪𝘵𝘩 𝘗𝘳𝘰𝘥𝘶𝘤𝘵 𝘈𝘯𝘢𝘭𝘵𝘪𝘤𝘴 𝘣𝘢𝘤𝘬𝘨𝘳𝘰𝘶𝘯𝘥, I deliver hands-on expertise across data engineering, analytics, and data governance functions that drive real results. Here's how I add value👇🏽: 1. 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘶𝗿𝗲 & 𝗠𝗼𝗱𝗲𝗿𝗻𝗶z𝗮𝘁𝗶𝗼𝗻: I design end-to-end Databricks and Azure lakehouses using medallion architecture (Bronze/Silver/Gold layers), replacing brittle legacy systems with scalable, production-grade platforms. I consolidate multi-source data integrations and ensure traceable lineage with 95%+ accuracy across 50+ stakeholders. 🔗 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝘁𝗮𝗰𝗸 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 (𝗱𝗯𝘁, 𝗔𝗶𝗿𝗳𝗹𝗼𝘄, 𝗗𝗮𝘁𝗮 𝗙𝗮𝗰𝘁𝗼𝗿𝘆): I build reproducible, version-controlled transformation pipelines with full test coverage, CI/CD automation, and data lineage tracking. My dbt projects establish governance best practices and standards that enable teams to move fast safely, reducing errors by 15%. 🛡️𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲, 𝗨𝗻𝗶𝘵𝘆 𝗖𝗮𝘁𝗮𝗹𝗼𝗴 & 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: I implement end-to-end data governance using Databricks Unity Catalog, unified data discovery, lineage tracking, access control, and PII tagging. Combined with automated SLA monitoring, incident response automation, and regulatory compliance frameworks (fintech, pharma). Result: 99%+ data freshness, 60% faster MTTR, and audit-ready governance at scale. 🔄 𝗘𝗧𝗟/𝗘𝗟𝗧 𝗣𝗶𝗽𝗲𝗟𝗶𝗻𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 (𝗕𝗮𝘁𝗰𝗵 & 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴): I architect resilient, fault-tolerant pipelines handling multi-source data integration with schema drift tolerance, exactly-once semantics, and dead-letter queues. Experience with Kafka, event-driven architectures, and Azure Data Factory orchestration for real-time and batch workloads. 📊 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: I design dimensional star schemas, dbt transformation logic, and analytics-ready datasets that power trusted dashboards. Built Power BI solutions and metrics layers that enable data-driven decisions, reducing reporting errors by 15% and enabling stakeholder self-service. 🎯 𝗖𝗹𝗼𝘂𝗱 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗖𝗼𝗻𝘀𝗼𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻: I lead end-to-end migrations from legacy systems (SAP HANA, Redshift, on-prem) to modern cloud platforms (Databricks, Azure, AWS) with zero data loss. I handle complex financial and supply chain data at enterprise scale with minimal downtime and full audit trails. 🤖 𝗔𝗜/𝗠𝗟 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I build clean, structured data feeds for ML models and LLM systems, including RAG (Retrieval-Augmented Generation) pipelines with semantic embeddings, vector storage, and hybrid search. Ensures data quality, feature engineering, and serving infrastructure at scale. 🏆 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁? I don't just "move data". I focus on the how and why, combining enterprise experience, and forward-deployed problem-solving to deliver solutions that scale, fail gracefully, and drive measurable business impact. I bridge technical complexity with business outcomes. 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲𝘀: Databricks (Certified) • Azure Synapse • Azure Data Factory • ADLS • AWS (Certified) • Snowflake • Delta Lake 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: dbt • Apache Spark / PySpark • Airflow • Kafka • Structured Streaming • Medallion Architecture • Delta Lake • Schema Evolution 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 & 𝗤𝘂𝗲𝗿𝘆: Python • SQL • PySpark • Bash • Scala basics 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Power BI • Tableau • Looker • Dimensional Star Schema • Metrics Layers • Data Modeling • 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 Enterprise Data Architecture , Analytics Engineering, Modern Data Stack Implementation, Spark Optimization & Performance, 𝗜𝗻𝗱𝘂𝘀𝘵𝗿𝗶𝗲𝘀 FinTech • Pharma & HealthTech • SaaS • Enterprise • Startups • Engineering

𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 | 𝐀𝐖𝐒 | 𝐄𝐓𝐋 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 | 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠 | 𝐁𝐈 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 | 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | 𝐑𝐀𝐆 | 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐀𝐢𝐫𝐟𝐥𝐨𝐰 I'm a Data Engineer & Data Analyst with 6+ years of experience and end-to-end expertise across the modern data stack, from data ingestion and transformation to dashboards and business insights. I help businesses build scalable data pipelines and turn raw, messy data into clean, trustworthy systems that drive real decisions. Alongside my core data engineering work, I bring growing expertise in AI-driven automation, designing cloud-native pipelines and enhancing them with intelligent workflows, including RAG-based systems, that save teams time and manual effort. Whether you're building your data infrastructure from scratch, scaling existing systems, or looking to automate repetitive data work with AI, I deliver production-ready solutions that get used. 💼 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: • ETL/ELT Pipelines: Python, SQL, Apache Airflow, AWS Glue, dbt automated, monitored, built for reliability • Cloud Data Warehousing: AWS, BigQuery, Azure, Redshift, Snowflake • Big Data & Transformation: Apache Spark, PySpark, pandas, dbt for large-scale, high-performance processing • Databases: PostgreSQL, MySQL, MongoDB design, optimization, query tuning • BI & Analytics: Power BI, Tableau, Looker Studio, Excel dashboards that turn data into decisions • DevOps & Automation: Docker, Git, Terraform, FastAPI, API integrations, workflow automation • Data Quality: Validation, cleansing, and audit-ready pipelines you can trust 🤖 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐤𝐢𝐥𝐥𝐬 (𝐆𝐫𝐨𝐰𝐢𝐧𝐠 𝐅𝐨𝐜𝐮𝐬): • Python-based automation for reporting, data cleansing, and API workflows • LLM & AI tool integration (OpenAI API, LangChain) for smarter, self-updating data pipelines • RAG (Retrieval-Augmented Generation) pipelines for querying internal data and documents with natural language • Chatbot workflows for internal knowledge, support, and reporting use cases • n8n and serverless automation to connect data systems without manual intervention 🤝 𝐖𝐡𝐲 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞? 🔺Client-Focused Delivery: I prioritize measurable impact, not busywork 🔺 Clear Communication: Frequent updates, transparent planning, no surprises 🔺 Honest Assessment: I reply within 24 hours with a clear pla no sales pitch, just straight talk 📌 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐆𝐞𝐭: → Reliable, scalable data pipelines → Clean, analytics-ready data models → Automated reporting and dashboards → Clear documentation and maintainable solutions → Actionable insights tied to real business KPIs 🏢 𝐖𝐡𝐨 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡: → Startups building their data infrastructure → Growing teams scaling analytics and reporting → Companies migrating to modern cloud data platforms → Businesses looking to automate reporting and reduce manual data work Let's build a data system that not only holds up at scale, but makes your team's work easier with AI where it actually adds value. 💬Send me a message and let's discuss your Project. ETL, ETL Pipeline, Data Pipeline Development, Data Warehousing, Data Warehouse Development, Data Modeling, Database Design, Database Architecture, Database Development, Data Integration, Data Transformation, Data Processing, Data Extraction, Data Ingestion, Data Migration, Data Quality, Data Cleaning, Data Mining, Business Intelligence, Data Visualization, Dashboard Development, KPI Development, Reporting Automation, Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Generative AI, Natural Language Processing, LLM Pipeline Development, AI Agent Development, AI Chatbot Development, Prompt Engineering, Predictive Modeling, Cloud Engineering, Cloud Architecture, Cloud Computing, AWS, Amazon Web Services, AWS Glue, AWS Lambda, Amazon S3, Amazon Redshift, Amazon Athena, AWS Aurora, AWS MSK, Google Cloud Platform, BigQuery, Microsoft Azure, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Azure Functions, Azure DevOps, Databricks, Snowflake, Apache Airflow, Apache Spark, PySpark, Apache Kafka, Apache Flink, Hadoop, Hive, dbt, Delta Lake, Airbyte, Docker, Kubernetes, Terraform, Git, Linux, PostgreSQL, MySQL, MongoDB, Microsoft SQL Server, DynamoDB, ClickHouse, FastAPI, Flask, Django, REST API, API Integration, JSON, XML, Parquet, Power BI, Tableau, Looker Studio, Microsoft Excel, Power Query, Power Automate, Fabric, Streamlit, Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Scala, Java, JavaScript, R, SAS, SPSS, Stata, Statistical Analysis, Quantitative Analysis, Time Series Analysis, Financial Analysis, Marketing Analytics, Forecasting, Data Scraping, Web Scraping, Data Collection, Selenium, Scrapy, Web Crawling, Data

I help businesses build reliable data systems that replace manual reporting, messy spreadsheets, and disconnected tools with clean, automated data pipelines. I specialize in data engineering, analytics infrastructure, and reporting automation. I’ve built production data workflows across finance, lending, operations, marketing, and customer analytics, from raw source data to clean warehouse models, dashboards, and recurring business reports. What I can help with: • ETL/ELT pipeline development using SQL, Python, dbt, Prefect, Airflow, AWS, GCP, Snowflake, and BigQuery • Data warehouse design, dimensional modeling, metric definitions, and BI-ready datasets • API, SFTP, CRM, ERP, spreadsheet, and database integrations • Financial reporting automation, P&L reporting, KPI dashboards, and executive reporting • Data quality checks, pipeline monitoring, documentation, and maintainable handoff

I am a Senior Data Engineer with over six years of experience in building robust data models, transformation layers, and analytics-ready datasets that drive critical business decisions. My expertise in SQL, dbt, Snowflake, Databricks, and Python allows me to turn complex business questions into reliable data products. I thrive on collaborating with product, marketing, and operations teams to ensure data is both actionable and scalable. I am well-versed in modern AI-assisted workflows and prioritize governance through meticulous documentation, testing, and metric definition. If you are looking for a data professional who can enhance your analytics capability and streamline your processes, let’s connect and discuss how I can elevate your data strategy.

As a Data Engineer specializing in AI/ML infrastructure, I design and build scalable data pipelines, Kimball dimensional data warehouses, and cloud-native data platforms that power business intelligence, advanced analytics, and machine learning solutions. I ensure data security by applying cybersecurity best practices, including encryption, secure data architectures, access control, and compliance with standards such as GDPR and ISO 27001. Here are some of the technologies, tools, and skills I commonly use: Data Engineering: SQL Server, ETL & Data Warehousing (Ralph Kimball), Data Lakes, Delta Lake, Azure Data Factory, Azure Databricks, Snowflake, PySpark, DBT, Apache Airflow BI & Analytics: Power BI, DAX, Looker Studio, Matplotlib, Seaborn, Plotly Security Governance, Risk & Compliance (GRC): NIST Cybersecurity Framework (CSF), GDPR, HIPAA, ISO 27001 compliance, OWASP Top 10 risk mitigation, and enterprise data governance. Cryptography & Data Security: Symmetric and asymmetric encryption (AES, RSA, ECC, ECDSA, Ed25519), secure hashing algorithms (SHA family), and modern cryptographic best practices for secure data protection. Network & Infrastructure Security: TCP/IP & OSI model analysis, Deep Packet Analysis via Wireshark, TLS 1.3 secure communications, CA-signed and self-signed certificates, and secure cipher suite configuration. Systems & Hardening: Linux system administration, OS hardening, secure configuration practices, and infrastructure-level security improvements for production environments. Cloud Platforms: Azure, AWS, GCP DevOps: Git, CI/CD, Docker, Kubernetes, Terraform Scripting: Linux, Bash Scripting, Python, JavaScript, TypeScript Machine Learning: Deep Learning, Neural Networks, Transformers, NLP, Computer Vision, CNNs, Supervised Learning, Unsupervised Learning What clients say about me: -------------------------------- "Salman took a very complex query & made it work in only a few hours! Not only did he do an amazing job fixing our issue, he was extremely nice & accommodating throughout it. I was very impressed with his ability to deliver high-quality code in such a short amount of time. I definitely recommend hiring Salman!" ⭐⭐⭐⭐⭐ -------------------------------- Client satisfaction and providing high-quality work that creates real value for your business are always my top priorities. I look forward to helping you bring your project to life. 🚀

𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠 | 𝐄𝐓𝐋 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 | 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 I am a Data Engineer with hands-on experience building scalable data systems, data warehouses, and business intelligence solutions. I work closely with clients to understand their data challenges and deliver practical solutions that create both immediate impact and long-term value. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐖𝐢𝐭𝐡 • Data Strategy | Architecture | Technology Selection • Designing and Building Modern Data Warehouses • Developing and Automating ETL Pipelines • Real-Time Data Workflows • Data Cleaning | Transformation | Processing • Data Migration Across Different Systems and Platforms ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW I WORK Phase 1: Discovery (Free) We talk. I understand your problem, your users, your constraints. I tell you honestly if I'm the right fit. Phase 2: Architecture & Roadmap Before writing code, I define what we're building and why. You get a clear plan, timeline, and milestones. Phase 3: Build & Ship I build in 2-4 week sprints. You see progress weekly. Working software, not status updates. Phase 4: Launch & Support I don't disappear after delivery. 30-day support included. Optional retainer for ongoing development. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 𝐂𝐥𝐨𝐮𝐝 Google Cloud Platform (GCP) | Amazon Web Services (AWS) | Microsoft Azure 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 / 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞: SQL Server | BigQuery | Snowflake | PostgreSQL | MySQL | Amazon S3 | Google Cloud Storage | Azure Data Lake Storage 𝐄𝐓𝐋 𝐚𝐧𝐝 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Airbyte | Apache Airflow (AWS MWAA, Astronomer) | Azure Data Factory | Dagster | DBT | Custom Python-based ETL Scripts 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐚𝐧𝐝 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: Python for API Integrations | Automation | Data Processing 𝐃𝐞𝐯𝐎𝐩𝐬: Docker | Pulumi 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬: Google Cloud Functions | Azure Functions 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Metabase | Power BI ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NEXT STEP Send me your idea with a rough budget. I'll respond within 24 hours with: - A rough scope and timeline - 2-3 clarifying questions - Whether I can help No sales pitch. No pressure. Just a straight answer.

Data Engineer and BI Developer with 6+ years of experience building data platforms, ETL pipelines, and analytics solutions for healthcare and fintech organizations. I specialize in Power BI, Apache Superset, Airflow, dbt, DHIS2, PostgreSQL, and ClickHouse. I have designed national-level health performance dashboards for Ministry of Health programs, developed secure payment microservices, and built end-to-end data pipelines that transform raw operational data into actionable business insights. My services include: Power BI Dashboard Development Apache Superset Dashboards ETL/ELT Pipeline Development Airflow & dbt Implementation DHIS2 Analytics & Reporting PostgreSQL & ClickHouse Optimization Data Warehouse Design API & Backend Development (Go/Python) I focus on delivering scalable, well-documented, production-ready solutions that help organizations make faster and more informed decisions.

I am a Business Intelligence Analyst with over six years of experience in data engineering and analytics. My expertise lies in designing and developing ETL pipelines, data modeling, and business-oriented analytics solutions. I have successfully built and evolved BI platforms, ensuring data quality, integrity, and availability during comprehensive software migrations. Proficient in SQL and Python, I excel at creating analytical layers for BI tools such as Power BI and Metabase. I take pride in my ability to optimize data processes and translate complex business requirements into scalable, reliable analytical solutions. If you are seeking a professional who can provide actionable insights and enhance your data strategy, I am ready to discuss how I can contribute to your project's success.