I am a Senior Data Engineer with over 5 years of experience specializing in designing and implementing enterprise-scale cloud data solutions. My expertise includes developing robust data warehouses, real-time ingestion pipelines, and advanced analytical frameworks across banking, finance, and logistics sectors. I excel in tools such as Snowflake, Databricks, and Apache Kafka, focusing on performance tuning and scalable architecture. I have a successful track record of employing Medallion architecture and complex data modeling to streamline data processes. As a Technical Lead, I drive cross-functional teams, ensuring effective sprint planning and clear stakeholder communication. If you're looking for an engineer who can transform your data strategy into actionable insights, let's connect and discuss how I can elevate your project to new heights.

I’m a Machine Learning Engineer specializing in LLM-powered systems, with a focus on building production-ready workflows using Claude. Currently, I design AI-assisted workflows for data engineering teams, integrating Claude with tools and systems such as dbt (via MCP), Slack, GitHub, and Gmail to automate tasks and make data engineers more efficient. Skilled in Python and modern AI tooling, with experience across LLM systems, RAG, and data pipelines. I focus on building reliable, practical solutions that work in real-world environments.

I help automate infrastructure and improve monitoring for small teams and projects. I have hands-on experience with: - Ansible (automation and configuration) - Docker (containerizing applications) - Monitoring tools like Grafana, Zabbix, and Graylog - Python scripting for automation and alert optimization Recently, I worked on improving alert systems by dynamically adjusting thresholds using Python and APIs, reducing unnecessary alerts and improving reliability. I focus on practical solutions: automating repetitive tasks, setting up simple and effective monitoring, and helping systems run more smoothly. If you need help with DevOps tasks, automation, or monitoring setups, I’m ready to contribute.

I’m a data scientist with experience in building machine learning models and data-driven solutions for businesses. Whether you need to detect fraud, optimize staffing, or improve analytics, I can help. - Skilled in Python, SQL, XGBoost, TensorFlow, DBT, and cloud platforms like AWS and Azure - Experienced in predictive modeling, time series forecasting, and healthcare analytics Able to manage projects end-to-end, from data engineering to model deployment - Regular communication is important to me, and I ensure transparency throughout the project. Let’s discuss how I can help with your data needs.

I am a Senior Data Engineer with 8 years of experience performing end to end backend implementations at the near Petabyte scale. I have worked in financial services and the energy sector.. My background spans multiple high-impact roles, most recently at a leading energy company. I specialize in data pipeline development, data modeling, and analytics, creating solutions that empower organizations to unlock insights from their data. I have a strong foundation in quantitative finance, which enhances my capabilities in understanding complex financial data. If you need a data expert who can transform raw information into actionable insights and help you make informed decisions, let's connect. I am eager to discuss how I can contribute to your project and help you achieve your goals.

I’m a Data Engineer specializing in building scalable, production-grade data platforms on Microsoft Azure. I help businesses design efficient data pipelines, automate workflows, and deliver analytics-ready datasets for reporting and decision-making. With 4+ years of experience, I focus on transforming raw data into actionable insights using Azure-native tools and modern data architecture practices. What I Do Azure Data Engineering ✔ Build ETL/ELT pipelines using Azure Data Factory (ADF) ✔ Develop data solutions with Azure Databricks (PySpark) ✔ Design data lakes using Azure Data Lake Storage (ADLS) ✔ Implement scalable architectures with Synapse Analytics ✔ Automate workflows using Azure Functions SQL & Data Modeling ✔ Advanced SQL development (SQL Server, PostgreSQL) ✔ Query optimization & performance tuning ✔ Data warehouse design (Star/Snowflake schemas) Power BI & Analytics ✔ Interactive dashboards and reports ✔ Data modeling and DAX optimization ✔ End-to-end integration with Azure data sources ✔ Business-ready insights and KPI tracking Tools & Technologies Azure Data Factory | Azure Databricks | ADLS | Synapse | SQL Server | PostgreSQL | Python | Power BI Why Work With Me ✔ Azure-focused data solutions ✔ Clean, scalable, production-ready pipelines ✔ Strong SQL and data modeling expertise ✔ Clear communication & reliable delivery 💬 Let’s build robust Azure data platforms and turn your data into insights with Power BI.

I help companies build reliable data systems when data sensitivity matters. Most data engineers focus only on "make it work". I focus on "make it work + make it auditable + make it secure" — because I've seen what happens when you skip those steps. Background: Former lawyer + data engineer. I understand both the technical and compliance sides. What I help with: ✅ Building data pipelines with proper access controls ✅ Designing data warehouses with security in mind ✅ Implementing data classification systems ✅ Preparing data infrastructure for audits ✅ Documenting technical systems for compliance Industries I work with: - Healthcare & health tech - Fintech & financial services - Legal tech - HR tech (sensitive employee data) - Any company handling regulated data Tech stack: Google Cloud Platform, BigQuery, Python, dbt, IAM, audit logging Regulations: HIPAA, GDPR, LGPD and sectoral Good fit if you're saying: "We need to be audit-ready" "We handle sensitive data and need proper controls" "Our pipelines work but aren't compliant" "We need documentation for security/compliance" Get in touch!

I am a Senior Product Analyst with over 3.5 years of experience in healthcare and product analytics, providing actionable insights through SQL-driven analysis and Tableau dashboards. I excel at building and optimizing ETL workflows to enhance data quality, delivering measurable outcomes for clients in the Medicare space. My expertise includes analytics automation and I am currently advancing my skills in analytics engineering, focusing on data modeling and Python-based transformations. I understand the importance of data in driving business decisions and thrive on using my analytical skills to create impactful solutions. If you're looking for a detail-oriented analyst who can translate complex data into clear strategies, I would love to collaborate with you on your project. Let's connect and explore how I can help elevate your data initiatives.

With 12+ years in AI engineering, RevOps automation, and data systems, I help companies build smarter and more reliable operations. I design agentic AI workflows, predictive scoring engines, cloud integrations, and end-to-end data pipelines using Databricks, Spark, Python, AWS, and Azure. My work supports faster decisions, cleaner processes, and scalable infrastructure for enterprise, telecom, and FinTech teams. 𝐇𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮: ✅ Agentic AI Workflows (CrewAI, n8n, GenAI) ✅ Predictive Modeling & Underwriting Automation ✅ Lead Scoring, Routing & RevOps System Design with GTM engineering ✅ Data Pipelines & Spark/Databricks Optimization ✅ Cloud & API Integrations (AWS, Azure) 𝐏.𝐒. If you’re looking to automate workflows or modernize your data systems, feel free to reach out. I also offer a free 30-minute consultation.

💼 Senior Data Engineer | Snowflake | Databricks | AWS | dbt | Python | Data Pipelines & Migrations Expert With 6+ years of experience delivering robust, scalable, and production-grade data solutions for Fortune 500 clients like Michael Kors, Capri Holdings, Kellanova, and Alegeus, I specialize in building modern cloud-native data platforms that power analytics, ML, and business decision-making. I’ve successfully led and delivered end-to-end data engineering projects — from ingesting and transforming billions of records across Snowflake, AWS, and Databricks to developing custom ETL frameworks and orchestrations using Glue, dbt, Talend, Python, and Shell. 🔧 Core Skills & Tools Cloud & Data Warehousing: Snowflake, Redshift, Azure Fabric, Delta Lake, dbt (Core & Cloud) Big Data & Processing: Databricks, Spark, PySpark, Glue, EMR ETL/ELT & Pipelines: Talend, ADF, Shell/Python Scripting, Snowpipe, SQS, Kafka Languages: Python, SQL, JavaScript, Bash Automation: REST API integrations, PowerShell, Lambda, Event-based ingestion CI/CD & DevOps: GitHub, Azure DevOps Data Quality: Profiling, QA, UAT, Alerting, Reconciliation Frameworks Visualization & BI: Power BI, MicroStrategy, SnowSight Dashboards 🎓 Certifications ✅ SnowPro Core Certified ✅ Databricks Certified Data Engineer Associate ✅ dbt Certified Developer ✅ Microsoft Certified ✅ Neo4j, etc 🏆 Career Highlights 🚀 Migrated legacy Netezza & SQL Server systems to Snowflake Cloud DW 🔄 Designed serverless ingestion frameworks using SQS + Snowpipe + Lambda 💡 Delivered POCs on Apache Iceberg & implemented ACID-compliant pipelines 🛠 Built validation, reconciliation, and auto-repair frameworks in Python 🏅 Received multiple client appreciations and DREAM TEAM awards for delivery excellence Whether you're a startup building your first data lake, or an enterprise modernizing your warehouse — I bring clarity, speed, and production-level reliability to your data workflows. 📩 Let’s talk — I’d love to help you build a data stack that actually works.