As a seasoned data scientist consultant with a robust background in data engineering and a prior role as a management consultant, I specialize in transforming complex datasets into meaningful business applications. My expertise extends across utilizing powerful tools like Python, SQL, and dbt to build rich datasets that drive strategic decision-making. My management consulting experience also enhances my ability to align data insights with business strategies, fostering improved decision-making and operational efficiencies. Recently, I've taken on roles with a software engineering flavor, developing sophisticated applications using Python to enhance data interaction and user experiences. My proficiency also includes leveraging cutting-edge technologies such as dbt for data modeling, FastAPI for building efficient APIs, Pulumi for infrastructure as code, and various AWS services to deploy scalable solutions. Furthermore, I greatly advocate for concise, professional PowerPoint presentations that communicate key information and findings, ensuring stakeholders are well-informed at every step.

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'm an AI developer focused in designing and deploying AI systems that are production-ready, efficient, and tailored to real business needs. My goal is to deliver AI tools that not only provide value immediately, but are also completely straightforward to use – and don't have steep learning curves or require extra effort or training to use. • Python, SQL, HTML, Azure, LLM APIs • End-to-end solutions – manage projects from start to finish • Excellent communicator – would be more than happy to jump on a intro call and actively keep in touch throughout the project

💼 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.

I am a Data Engineer and GCP Specialist with over 7 years of experience in building scalable data architecture and optimizing ETL/ELT pipelines, particularly for high-volume eCommerce environments. My expertise in the Modern Data Stack, including dbt, Airflow, and BigQuery, allows me to create efficient data workflows that drive insights and support decision-making. With a solid background in providing enterprise-level technical support for Google Cloud products, I understand the intricacies of cloud security and data management. I thrive on delivering tailored solutions that meet unique business needs. If you are seeking to enhance your data strategy or streamline your data processes, I am ready to collaborate and help bring your vision to life.

I am a seasoned Senior Snowflake Developer and Data Engineer with over four years of hands-on experience in designing and optimizing enterprise-grade data warehousing solutions and ELT/ETL pipelines. My expertise lies in Snowflake architecture, AWS Glue, dbt, Python, and SQL, with strong proficiency across AWS and Azure platforms. I have a proven track record in large-scale cloud data migration, real-time data processing, and query performance tuning. My work extends to dimensional data modeling and CI/CD automation, particularly within healthcare and FMCG sectors. Familiar with data governance, RBAC, and HIPAA practices, I excel in Agile environments and thrive on cross-functional collaboration. If you need a reliable partner who can enhance your data strategies and drive impactful results, let's discuss your project.

Former Senior Data Engineer at Netflix. I specialize in engineering robust cloud data infrastructures that drive insights through data science and engineering. With over eight years of experience in delivering critical datasets, dashboards, and ML models, I empower businesses to gain a competitive advantage. My background includes collaboration with C-level executives and VPs across multiple enterprise domains, significantly impacting decision-making and strategic initiatives. If you're seeking a seasoned professional ready to tackle complex data challenges and accelerate your business growth, let’s discuss how I can contribute to your team's success.

- A self-driven AI Data Engineer with strong background in data aggregation, knowledge extraction, language processing, and visualization. - A self-sufficient contributor in designing and building Data Warehouse architecture, data pipelines, AI models, automations, and dashboards. - A senior-level teammate experienced in leading projects, building trusted communications with clients, capturing requirements, and planning milestones. - A quick learner with risk-taking, data-driven decision-making, analytical skills, adaptability in a rapidly changing environment, and motivated by challenges.

Most AI engineers build impressive demos. I build the thing that's still running 6 months later. If you're losing hours to manual processes, sitting on data you can't use, or tired of AI that works in a notebook but breaks in production, that's exactly where I come in. I design and ship systems that automate the work, cut the hours, and deliver measurable ROI. Not prototypes. Not wrappers. The real thing. What I ship: → RAG pipelines that retrieve the right context — not just similar text → Agentic workflows that handle multi-step tasks without hand-holding → AI automation that kills repetitive work at the root (N8N · Make · Zapier · Airflow) → LLM integrations wired into your existing stack and APIs → Fine-tuned models trained on your domain — not just the internet → Computer Vision and multimodal AI systems → ML pipelines built for structured and unstructured data, at scale Stack: LangChain · LlamaIndex · OpenAI · Anthropic · PyTorch · Hugging Face · LoRA/QLoRA/PEFT FAISS · Pinecone · ChromaDB · N8N · FastAPI · Docker · Kubernetes · AWS · Azure Why me: 3+ years shipping production AI — RAG systems, AI agents, automation pipelines used by real businesses. I communicate clearly, document properly, and don't hand you a black box you can't maintain. I know where these systems break. Because I've fixed them. Every engagement ends with one question: did something measurable improve? If the answer isn't yes, I'm not done. Tell me what you're building. I'll tell you honestly how long it'll take.