Are your data pipelines failing silently, or is your cloud data warehouse bill spiraling out of control? I help data teams and startups design, build, and optimize reliable modern data platforms across AWS and GCP - ensuring zero data loss, predictable pipeline runs, and cost-efficient query performance. Core Focus Areas & Solutions: - Pipeline Orchestration & Modeling: Production-grade Apache Airflow DAGs, dbt transformations, modular ELT architectures. - Data Lake & Warehouse Design: Modern storage and modeling on Amazon Redshift, BigQuer, and S3. - Cost & Performance Optimization: Partitioning/clustering tuning, cluster resizing, query debugging, and infrastructure refactoring to reduce monthly cloud spend. - Automated & Resilient Ingestion: CDC ingestion, API connectors, error handling, automated alerts, and schema evolution handling. Tech Stack: Cloud: AWS (S3, Redshift, ECS, Lambda, IAM), GCP (BigQuery, Cloud Storage, GCF) Data Tools: Apache Airflow, dbt, Docker, Airbyte, Kafka Languages: Python (Pandas, Polars, PySpark), Advanced SQL, Bash Whether you need to migrate legacy pipelines, fix brittle ETL workflows, or optimize your data warehouse infrastructure from the ground up, let's connect and discuss your architecture.

I help companies turn complex data into trusted business decisions using BigQuery, dbt, Power BI, and AI-powered analytics. Over the past 8+ years, I’ve built enterprise reporting solutions, semantic data models, and executive dashboards that support strategic decision-making.

As a highly experienced data engineer and data analyst with 7 years in the field, I possess a wealth of skills and strengths in analysis and database management. I hold a diploma in computer science and a Bachelor's degree in CSE, providing me with a deep understanding of both theory and practical application. As a top-rated plus freelancer on Upwork, I have successfully completed numerous projects and delivered exceptional results to clients. My expertise in data analysis, data visualization, data modeling, and database design allows me to provide insights and solutions that are tailored to my client's specific needs. Some of my notable accomplishments include designing and implementing large-scale data warehouses, creating data pipelines to integrate disparate data sources, and building data analytics platforms for real-time insights. I take pride in my ability to collaborate effectively with cross-functional teams and communicate complex technical concepts in a clear and concise manner. In summary, I am a skilled and dedicated data engineer and data analyst with a proven track record of success. I am committed to delivering high-quality work that meets the needs of my clients, and I am confident that I can provide the expertise and insights necessary to help them achieve their goals.

As a skilled data engineer with expertise in Microsoft Azure, Microsoft Fabric,Aws and Snowflake I specialize in designing and implementing data solutions that help businesses operate more efficiently and effectively. With a degree in computer science and expertise in ETL, Databricks, data warehousing, Python, and SQL, I have a deep understanding of the data engineering process from end to end. Have 5 years of experience in data engineering. Experienced in healthcare, fintech, real estate data and many more. My technical expertise includes a wide range of programming languages, frameworks, and databases. I am proficient with the following tech stacks: ✔ Data Integration - ETL(SSIS, Pentaho, Talend, Matillion), Data Quality, Snowflake, AWS Glue, Airtable, Salesforce ✔ API Integration ✔ Web scraping on Python (Selenium, Beautiful Soup, Scrapy) ✔ Zapier, Make (Integromat) and Microsoft Power Automate ✔ Python, Data Factory, Synapse Analytics ✔Event hubs,Kafka,Stream Analytics, Kinesis ✔Microsoft fabric, warehouses and Lakehouses ✔ Azure, Firebase, AWS, Jenkins, CI/CD, Git, Nginx, Docker, Kubernetes, Heroku, Netlify My ability to work in a team as well as individually complements these technical skills as I deliver through written and verbal communication, finish tasks remotely, and can manage different areas of a project. If it's interesting, we can connect over a quick introductory call or chat and see how I can help!

With over 6 years of hands-on experience in building and optimizing data pipelines, I specialize in delivering end-to-end data engineering solutions that scale. Whether it's setting up robust ETL workflows, migrating to the cloud, or implementing real-time data streaming, I bring a performance-driven approach to every project. 🔧 Core Skills & Technologies: Cloud Platforms: AWS (Glue, S3, Redshift, EMR), GCP (BigQuery, Dataflow), Azure Data Engineering Tools: Apache Spark, Airflow, Kafka, DBT, Hadoop Languages: Python, SQL, PySpark, Bash Databases: PostgreSQL, MySQL, Snowflake, MongoDB DevOps & CI/CD: Docker, Terraform, Git, Jenkins

👋 Hi, I'm a Data Engineer with 3+ years of experience building scalable data platforms and analytics solutions using Databricks, dbt, BigQuery, SQL, PySpark, Power BI, and Tableau. I help businesses transform raw data into reliable, analytics-ready datasets by designing end-to-end ETL/ELT pipelines, optimizing data models, and automating reporting workflows. 💼 What I can help you with: ✅ End-to-End ETL/ELT Pipelines ✅ Databricks (PySpark, Delta Lake, Workflows) ✅ dbt Development & Data Modeling ✅ Google BigQuery ✅ SQL Development & Query Optimization ✅ Data Warehouse Design ✅ REST API Integrations ✅ Power BI & Tableau Dashboards ✅ Data Quality Testing & Pipeline Monitoring 📈 Recent Impact: 🚀 Reduced dbt model runtime from 10 minutes to 2 minutes using incremental models. ⚡ Improved dashboard performance from 3 minutes to around 20 seconds by redesigning the data model. 🔄 Built production-grade pipelines integrating Salesforce, Intercom, Stripe, RevenueCat, and other business applications. 📊 Delivered trusted datasets powering executive dashboards and customer success platforms. 🛠️ Tech Stack • Databricks • PySpark • dbt • Google BigQuery • SQL • Python • Delta Lake • Power BI • Tableau • REST APIs • Git • ETL / ELT • Kimball Data Modeling 🤝 Whether you need a new data pipeline, dbt project, Databricks development, SQL optimization, or an analytics solution, I'd be happy to help. Let's build something great together!

Messy data? Fragile pipelines? Manual processes slowing down growth? That’s where I come in. I’m a Senior Data Engineer with 8+ years of experience designing scalable data warehouses, cloud data architectures, ETL/ELT pipelines, and data integration solutions across banking, retail, insurance, and SaaS industries. I help companies modernize their data platforms, integrate data from multiple sources, automate data workflows, and build reliable analytics ecosystems that are easier to maintain and scale. My approach is simple: build clean, reliable, secure, and scalable data solutions that turn complex data into something your business can actually trust and use. 🔹 Data Engineering & ETL/ELT ✔️ End-to-end ETL/ELT pipelines designed for reliability and scalability ✔️ Data warehouse development and dimensional data modeling using Inmon and Kimball methodologies ✔️ Complex SQL development, query optimization, stored procedures, and database performance tuning ✔️ Data migration, transformation, cleansing, and validation ✔️ Data integration across enterprise applications, databases, and cloud platforms ✔️ Data quality processes to improve accuracy, consistency, and integrity 🔹 AWS & Cloud Data Engineering ✔️ AWS data solutions using S3, Glue, Athena, Lambda, Aurora, RDS, EC2, and OpenSearch ✔️ Cloud-based data ingestion and processing pipelines ✔️ Serverless data processing and automation using AWS Lambda ✔️ Data lake and analytics solutions using S3, Glue, and Athena ✔️ Relational database solutions using Amazon Aurora and RDS ✔️ Multi-cloud experience across AWS, Azure, and GCP ✔️ Experience with Snowflake and BigQuery for cloud data warehousing 🔹 Data Integration & REST APIs ✔️ REST API development and integration using Informatica Cloud Platform ✔️ Publishing REST services to expose enterprise data to downstream applications ✔️ Consuming REST APIs from third-party applications and incorporating external data into ETL workflows ✔️ Integration between SAP, enterprise applications, databases, and cloud platforms ✔️ Data extraction, transformation, and loading from API-based sources 🔹 Data Lineage, CI/CD & Automation ✔️ dbt for data lineage, dependency analysis, and impact analysis ✔️ CI/CD implementation and deployment automation using Terraform, Jenkins, and Git ✔️ Infrastructure as Code using Terraform ✔️ Automated deployments across Development, QA, and Production environments ✔️ Airflow, Talend, Matillion, Informatica IICS, SSIS, and Azure Data Factory for workflow orchestration and ETL/ELT 🔹 Analytics & Automation ✔️ Python-based data processing and analytics using Pandas, NumPy, and other data engineering libraries ✔️ Power BI dashboards and reporting solutions ✔️ Automated data quality and validation processes ✔️ Data analysis and machine learning solutions using Python ✔️ Fraud detection and business rule implementation 🔹 Why work with me? ✔️ Proven experience: I’ve worked on projects ranging from core banking migrations and fraud detection to enterprise data warehouses and cloud-based data platforms. ✔️ End-to-end expertise: I can work across the full data lifecycle — from source systems and APIs to ETL/ELT, data warehouses, cloud platforms, analytics, and production deployment. ✔️ Cloud & modern data stack: I bring hands-on experience with AWS, Azure, GCP, Snowflake, BigQuery, dbt, and modern data integration technologies. ✔️ Cross-industry experience: My background includes banking, insurance, healthcare, retail, and SaaS, allowing me to apply proven data engineering practices across different business environments. ✔️ Strong SQL & troubleshooting skills: I specialize in understanding complex data problems, identifying root causes, and designing practical solutions that improve data reliability and performance. ✔️ Clear communication: I’ve worked closely with technical and business stakeholders, trained engineers, taught university courses, and supported teams throughout development, QA, deployment, and production. 🔹 Let’s talk Tell me about your data challenge, and I’ll help you identify the best technical approach. Whether you need to build an ETL pipeline, optimize SQL, migrate data to the cloud, integrate REST APIs, improve your data warehouse, implement CI/CD, or understand data lineage, I can help you design and deliver a reliable solution. Worst case? You’ll get expert feedback on your project and a clear understanding of the technical challenges. Best case? You’ll get a senior data engineer who can take your project from raw data to a reliable, production-ready solution.

Are you struggling with fragmented data, unreliable pipelines, inconsistent metrics, or manual processes that slow down decision-making? I help businesses turn raw data into scalable pipelines, trusted analytics, and intelligent systems by combining data engineering, analytics, and machine learning / AI solutions into production-ready workflows that drive real business impact. With 5+ years of experience across data engineering, analytics, and AI, I specialize in building solutions that collect, transform, analyze, and automate data, enabling faster, smarter decisions. WHAT I HELP YOU SOLVE - Data scattered across multiple sources with no single source of truth - Unreliable ETL pipelines or workflows that fail as data grows - Dashboards and reports that don’t reflect real business performance - Manual or repetitive processes that slow operations - Ideas for machine learning or AI that never reach production WHAT I CAN DO FOR YOU ✅ DATA ENGINEERING & ETL/ELT PIPELINES - Build and optimize ETL pipelines to ensure your data is clean, reliable, and always available. - Design cloud-based data lakes and warehouses (AWS / GCP) - Process large-scale data using Spark / PySpark - Orchestrate workflows with Airflow and event-driven automation ✅ ANALYTICS & DATA MODELING - Build analytics-ready data models (facts, dimensions, metrics) - Standardize KPIs and business logic across teams - Create dashboards and reporting layers that stakeholders trust - Perform exploratory data analysis, trend detection, and insights generation ✅ MACHINE LEARNING & AI SOLUTIONS - Build and deploy machine learning models for predictions, scoring, or classification - Develop AI agents for automation, workflow optimization, or decision support - Implement NLP pipelines for text processing, summarization, and extraction - Feature engineering, model evaluation, and productionization - Integrate ML/AI models into pipelines, dashboards, and applications ✅ MICROSERVICES, APIs & AUTOMATION - Develop REST APIs and standalone microservices using FastAPI - Integrate data, analytics, and ML pipelines into business applications - Automate repetitive workflows and reporting tasks TOOLS & TECHNOLOGIES - Python, SQL, DBT, Spark / PySpark - AWS & GCP (S3, Lambda, Glue, Redshift, BigQuery, Dataflow) - Airflow, Docker, Kubernetes, Terraform, CI/CD - Power BI, Tableau, and other BI tools - AI / ML frameworks: scikit-learn, XGBoost, TensorFlow, LangChain, Hugging Face Transformers, OpenAI APIs, other LLM & NLP tools - Web / API scraping (Selenium, BeautifulSoup) PROVEN BUSINESS IMPACT - Reduced ETL pipeline CPU usage from ~85% to ~25%, improving scalability and reliability - Led Salesforce CRM data migration to accelerate onboarding - Built automated customer health scoring system critical to retention strategy - Delivered dashboards and analytics layers that became daily tools for leadership - Implemented ML models and AI agents to automate decision-making and optimize workflows WHY WORK WITH ME ** Strong blend of data engineering, analytics, and AI skills ** Production-first mindset — I deliver solutions that work reliably in real-world systems ** Focused on business impact, not just technical delivery ** Clear communication, realistic timelines, and dependable delivery ** Comfortable owning projects end-to-end, from data ingestion to analytics and AI-driven outcomes If you’re looking for a partner who can turn messy data into reliable pipelines, actionable insights, and intelligent systems, I’m ready to help.

Are you looking for a results-driven BI & Analytics professional who can turn complex data into clear insights, automate workflows, and improve operational efficiency—without overshooting your budget? I’m a certified Alteryx Consultant and Data Analyst with strong expertise in Power BI, Tableau, SQL, and advanced analytics, helping organizations build scalable, real-time, and decision-ready data solutions. 🔧 Core Expertise ✨ Alteryx (Core, Advanced & Expert Certified) – Workflow automation, ETL pipelines, macros, data preparation, and server administration ✨ Power BI – Data modeling, DAX, KPI-driven dashboards, performance optimization ✨ Tableau – Interactive dashboards, data storytelling, and executive-level visualizations ✨ SQL – Data extraction, transformation, and analysis ✨ Databricks & Snowflake – Cloud data processing and analytics ✨ Python & R – Data analysis and visualization ✨ Advanced Excel & Power Query – Automation, reporting, and data cleansing 🔍 Why Choose Me? 💯 Strong analytical mindset with business-first thinking 📜 Multiple industry-recognized certifications ⚡ Focus on automation, accuracy, and scalability 📊 Expertise in operational analytics, supply chain, and process improvement 🕒 Clear communication and reliable deliveryBFSI Analytics – MIS reporting, risk & profitability insights 🏦 Finance Domain Expertise – Banking KPIs, compliance & cost optimization 📊 BI & Analytics Services I Offer ✔ End-to-end Alteryx workflows, ETL automation & server support ✔ Power BI & Tableau dashboards aligned with business KPIs ✔ Data modeling, cleaning, and advanced analysis ✔ SQL query optimization and reporting ✔ One-on-one training & mentoring for Alteryx, Power BI, and Tableau ✔ Supply chain, inventory, and operational performance analytics 🏭 Domain Knowledge 📦 Supply Chain Management 📉 Inventory Control & Optimization ⏱ Time & Motion Studies 📐 Six Sigma Methodology 📈 Process Improvement & Operational Efficiency 💰 Finance & Financial Analytics 🏬 Retail Analytics & Sales Performance 🛒 E-commerce Analytics (Customer behavior, funnel analysis, revenue optimization) 🎓 Certifications ✔ Alteryx Core, Advanced & Expert Certified ✔ Alteryx Server Administrator Certified ✔ Microsoft Certified: Power BI Data Analyst Associate (PL-300) ✔ Tableau Desktop Certified 📬 Let’s Work Together! If you need a trusted BI consultant, Alteryx trainer, or dashboard expert, let’s discuss how I can help you turn data into measurable business value. Highlighted Services: Alteryx Consultant | Alteryx Trainer | Power BI Expert | Tableau Developer | SQL Analyst | ETL Automation | BI Dashboards | Data Analytics | Supply Chain Analytics

I build the pipelines that move data from wherever it lives to wherever it needs to be, reliably, on schedule, and without babysitting. I am a Data Engineer with five plus years in data and analytics, and I specialize in serverless, scheduled pipelines on Google Cloud. My core is GCP. I build event driven and scheduled ingestion using Cloud Functions Gen 2, Pub/Sub, Cloud Storage and Cloud Scheduler, landing everything in BigQuery. I write the extraction and orchestration logic in Python, including resilient API integrations with dynamic token handling, rate limiting and deduplication, and I have built async ingestion from sources like the Adobe Analytics APIs end to end. SQL in the BigQuery dialect is second nature. I care about cost and scale, not just getting data to arrive. I have cut storage 85x with cumulative table design, built partitioned bronze tables with dedup on read silver views, and shipped dashboard suites worth close to 1.98 million dollars in cost avoidance and a 14 percent revenue lift. On the transformation side I model in dbt and dbt Cloud with CI/CD plus Dataform, and design dimensional models with slowly changing dimension Type 2 history. I also bring reliability engineering into the stack with a LangGraph multi agent system that monitors schemas and catches drift in production before it breaks anything downstream. Everything is version controlled in Git and GitHub, and I can drop a Power BI serving layer with DirectQuery and DAX on top when reporting is part of the job. Stack: GCP, BigQuery, Cloud Functions, Pub/Sub, Cloud Storage, Cloud Scheduler, Python, SQL, dbt and dbt Cloud, Dataform, Adobe Analytics APIs, Power BI, DAX, LangGraph, Git and GitHub, dimensional modeling and SCD Type 2.