I help companies turn data into actionable insights through Power BI, SQL, automation, and modern analytics solutions. With 6+ years of experience and dozens of projects delivered across multiple industries, I have helped companies build scalable analytics solutions, automate processes, and improve decision-making through reliable data platforms. As an Analytics Engineer and BI Consultant, my focus is to create solutions that save time, increase visibility, and drive business growth. ✅ Power BI Dashboards & Reports ✅ SQL Development & Data Modeling ✅ ETL / ELT Pipelines ✅ Automation & Integrations ✅ API Integrations ✅ Marketing & Advertising Data Platforms ✅ Data Warehousing & Analytics Engineering I have worked with companies of different sizes, delivering solutions involving ERP systems, APIs, cloud platforms, and marketing data sources. My expertise includes integrating and analyzing data from Google Ads, Facebook Ads, TikTok Ads, ERP systems, CRMs, and custom APIs. ### Tools & Technologies • Power BI • SQL • Python • Microsoft Fabric • Snowflake • Databricks • Azure Data Factory • Power Automate • n8n • dbt • APIs & Webhooks • Google Ads • Facebook Ads • TikTok Ads • Google Analytics • Looker Studio I believe that successful analytics projects are not just about building dashboards—they are about delivering reliable solutions that help businesses make better decisions. If you're looking for a professional who combines business understanding with technical expertise, let's connect and discuss your project.

I have detailed understanding of sql, power bi ,python and advance excel through practical data analysis, looking to apply my skills towards designing efficient data analysis solutions and drawing actionable insights. CORE SKILLS- Cloud & Big Data Tools:- Azure, Databricks (Spark, Delta Lake, Unity Catalog), snowflake, dbt,Airflow, Synapse, Generative ai, MCP servers, Automation, Power bi Programming:- SQL, Python (Numpy, Pandas, Openpyexcel, Matplotlib), PySpark, Apache spark Databases:- MySQL, MSSQL, PLSQL, T-SQL BI & Visualization:- Power BI, Looker Studio, MS Excel, Databricks Data Modeling:- Relational, Dimensional, ER Modeling, Data Warehousing Other Tools:- Jira, Slack, Notion, Figma,Canva EXCEL: Data Entry, Advanced formula creation ( v lookup, h lookup, x lookup, index & matches, power query, power pivot, slicing &dicing), data analysis, and generating insightful reports. GOOGLE SHEETS: Collaboration, real-time data sharing, and developing visually appealing dashboards. LOOKER DATA STUDIO: Designed dynamic and interactive dashboards. Integrated disparate data sources for comprehensive insights. Transformed raw data into compelling visual narratives Data entry : Meticulous attention to detail, maintaining data integrity, and ensuring data quality. Data collection from websites: Extracting valuable information from various sources for informed decision-making. POWER BI: Data visualization, Data cleaning, Dax, Creating Measures, connections, Power query, power pivot, Power view SQL ( my-sql and mssql ); Writing complex queries, Data filtering, aggregation (WHERE, GROUP BY, HAVING), Performance optimization (indexes, execution plans), Stored procedures, functions, triggers, Database design & normalization, Views, CTEs, and data transformations SQL for reporting (Power BI, Microsoft Fabric, Power Query) ETL processes & data analysis experience in building scalable ETL/ ELT pipelines, data platforms, and analytics solutions in the FinTech domain. Strong expertise in Python, SQL, Apache Spark, Databricks (Delta Lake, Unity Catalog), and Azure. Experienced in data ingestion, data transformation, data modeling, data validation, and data reconciliation across large-scale distributed systems. • Proven experience in automating reconciliation processes (daily, monthly, yearly), reducing manual effort and improving data accuracy for financial reporting and audit compliance. Skilled in developing data pipelines for audit-ready datasets, financial analysis, and regulatory reporting. • Hands-on experience with Power BI for dashboard development, data visualization, and business intelligence reporting, enabling stakeholders to derive actionable insights. Strong background in financial data analysis, KPI reporting, and delivering data solutions to multiple teams including audit, finance, and business stakeholders. Designed and developed scalable ETL/ELT pipelines using Databricks (PySpark, Delta Lake, Unity Catalog), improving data processing efficiency by 30–40% and enabling reliable end-to-end data workflows (ingestion, transformation, validation, delivery). • Built and optimized data ingestion frameworks and Spark-based workflows for batch and near real-time processing, reducing data latency by 35% and improving pipeline performance. • Automated data reconciliation processes (campaign, transaction, daily/ monthly/ yearly reporting), reducing manual effort by 60–70% and improving accuracy for financial reporting and audit compliance. • Implemented data quality, validation, and anomaly detection frameworks using Python and SQL, reducing data discrepancies by 40% and ensuring high data integrity across systems. • Performed data analysis and campaign performance validation, ensuring correct business logic, reward distribution, and customer eligibility; reduced campaign-related errors by 25–30%. • Developed and delivered analytics-ready datasets and Power BI dashboards, enabling stakeholders to track KPIs, campaign performance, and financial metrics for data-driven decision-making. • Provided audit-ready data and supported multiple stakeholders including audit teams, analytics teams, and business units, reducing audit turnaround time by 30%. • Designed and optimized data models, tables, and views using partitioning, caching, and query optimization techniques, improving query performance by 25–35%. • Implemented data governance and access control using Unity Catalog (RBAC), improving data security and compliance while ensuring controlled data access. • Developed reusable, parameterized data pipelines and ETL frameworks, improving development efficiency by 30% and enabling scalable and maintainable solutions. experience in FinTech (Paytm), specialising in SQL, Python, and Excel / Power BI. Hands-on expertise in fraud detection, chargeback analysis, financial reconciliation, and KPI reporting. Proven ability to automate.

I am an experienced and highly-skilled data professional with expertise in various domains of data science and analysis. My background includes working as an Analytics Engineer, Decision Scientist, Data Analyst, Financial Analyst and Economist. I have experience designing, building, and maintaining the systems and infrastructure that support the collection, storage, and analysis of data. My skills include data analysis and visualization, statistical modelling, machine learning, and data engineering. I am able to turn complex data sets into actionable insights that inform decision-making and improve performance. Additionally, I have experience working with various industries such as finance, e-commerce, healthcare and transportation. I am highly organized, detail-oriented, and able to work effectively with cross-functional teams. I possess excellent analytical, problem-solving, and communication skills. I am confident that my skills and experience make me an ideal candidate for any data-related project. I am always eager to take on new challenges and to continuously improve my skills, and I am certain I can make a valuable contribution to your team or a great freelancer for your projects. Some of the interesting problems that I have worked on are: Designed and Implemented Personalized Product Recommendations Using Data Analytics, Resulting in a 15% Sales Increase for an E-commerce Company Developed a Predictive Model for a Healthcare Provider Using Business Intelligence Techniques, Reducing Hospital Readmissions by 50% Built a Fraud Detection System for a Financial Institution Using Data Engineering, Saving $1 Million in Fraudulent Transactions Conducted Customer Feedback Analysis for a Transportation Company Using Analytics Engineering Tools, Improving Services by 20% Developed a Predictive Maintenance System for a Manufacturing Company Using Data Engineering Techniques, Reducing Equipment Downtime by 25% and Increasing Production Efficiency by 10% Built a Machine Learning Algorithm for a Media Company Using Data Analytics, Increasing Click-Through Rates by 20% Created a Real-Time Sales Performance Dashboard for a Retail Company Using Business Intelligence, Improving Sales by 10% Conducted a Market Analysis Using Analytics Engineering Tools for a Startup, Identifying a New Product Line and Increasing Revenue by 30% Developed a Sentiment Analysis System for a Social Media Platform Using Data Analytics Techniques, Providing Actionable Insights and Increasing Customer Engagement by 25% Built a Pricing Optimization Model for a Hospitality Company Using Data Analytics and Business Intelligence Techniques, Improving Revenue Management and Profitability by 15%

Seasoned Senior Data Engineer with 10 years' expertise crafting and implementing sophisticated data enrichment solutions. Proficient in developing and architecting robust data systems within production environments, utilizing an array of data engineering tools such as Python, SQL, Pyspark, Scala, and more. Specialized in constructing top-tier ETL Pipelines leveraging airflow, AWS Glue, and Apache Spark for seamless data processing. Proficiency in building and managing CI/CD pipelines, automating deployment workflows, and ensuring seamless integration and delivery of data engineering solutions. Extensive proficiency in leveraging cloud-based technologies within the AWS ecosystem—expertise spans S3, Glue, EMR, Athena, Redshift, Lambda functions, and RDS. Proficiently design and extract data from diverse sources, optimizing it for Data Scientists' use in constructing machine learning models to predict various customer-centric scenarios. Adept at remote work environments, delivering consistent excellence in collecting, analyzing, and interpreting extensive datasets. Skilled in data pipeline development using Spark, managing data across DWH, Data Marts, and Data Cubes within SQL, NO-SQL, and Hadoop-based systems. Proficient in building Python scrapers via Scrapy and Beautiful Soup to streamline data acquisition processes. Extensive freelance experience has broadened my expertise, enabling me to collaborate with diverse clients on challenging data engineering projects. This exposure has strengthened my capabilities and equipped me to tackle any forthcoming challenges as a seasoned data engineer.

Maximizing the effective use of data that's already at hand has been my passion throughout my career as an engineer, an educator, a public health worker and freelance data integration specialist. Let me put that experience and expertise to work for you. Whether you're a business looking to automate tedious employee processes and integrate all of your dimension and process data into a single view; or you're a grant or publicly funded organization looking to improve and streamline your monitoring, evaluation, records and reporting; I can create the tools you'll need to remove inefficient and costly bottlenecks, as well as provide training and support to your staff for long term adoption and buy-in. I am able to custom tailor data automations and integrations at any level of sophistication: - I have created highly technical data pipelines using a tech stack of AWS Lambda functions written in Python, Fivetran, Redshift, dbt and Tableau/Power BI. - I have completed projects in both VBA and Google Apps Script to extend the MS and Google platforms and create data transformation and visualization utilities - I have created no code automations in make.com (formerly Integromat) and setup a number of smaller API integrations across several platforms. Many data engineers and integration specialists lack analytics experience, and I have seen first hand how that lack of training or interest results in finished products that cannot be easily adapted to changing conditions and don't effectively meet the needs of the business. With my diverse experience in multiple sectors and as an entrepreneur who has run more than one type of business I have the ability to not just see, but understand the big picture, and by combining my analytical and data integration skills I am able to create a long lasting impact for your organization.

🚀 Elite AI and Data Science Consultant with over 20 years of experience transforming businesses through cutting-edge technologies. My expertise in generative AI, machine learning, and data engineering spans top consultancies and global enterprises, delivering strategic insights and impactful solutions. Key offerings include: Generative AI & Machine Learning, Data Engineering & Solutions Architecture, Management Consulting & Transformation, Strategic Leadership & Mentorship, and Training & Development. Why Choose Me: ✅ Proven Success: Driving measurable outcomes in sectors like finance, technology, government, and FMCG, with projects leading to significant revenue growth, cost reductions, and enhanced operational efficiency. ✅ Client-Centric Approach: Tailoring solutions to meet your unique business challenges, combining R&D agility with enterprise-level expertise. ✅ Industry Recognition: Accolades including Top 25 Analytics Leaders (IAPA) and various fellowships, hackathons, and industry awards. ✨ Author of an upcoming book on generative AI design patterns, influencing tech companies globally. 🛠 Specializing in cutting-edge AI, delivering tailored, enterprise-grade solutions. 🌐 Extensive experience and certification in cloud platforms including AWS, Azure, and GCP. 🏗 Designing scalable architectures for real-time data processing and complex integrations. Certifications: 🎓 Microsoft Certified: Azure Data Scientist Associate 🎓 Microsoft Trainer for Azure AI Fundamentals 🎓 AWS Certified Solutions Architect 🎓 Google Cloud Certified: Professional Data Engineer 🎓 Databricks Cerified Data Scientist 🎓 Databricks Cerified Data Engineer Top Brands & Clients: 💻 Technology: Microsoft, Google, Telstra, Oracle, AT&T 💰 Finance: Qantas, ANZ Bank, Commonwealth Bank 🥤 Consumer Goods: Coca-Cola, Unilever, Oroton 🎥 Media: Omnicom Media Group, Tourism Australia, PokerStars 🏛 Government: Australian Federal Government, NSW Government "A transformational experience, turning challenges into opportunities with innovative AI solutions." "The workshops revolutionized my understanding of AI-driven product management." Technical Expertise: ✅ Programming Languages: Python, R, JavaScript, Scala, C++, Ruby ✅ Frameworks & Libraries: TensorFlow, PyTorch, Keras, Scikit-learn ✅ Generative AI Tools: OpenAI GPT-4, LLaMA, Mistral, Midjourney, Stable Diffusion, Azure AI, Textract, Rekognition, ComfyUI, Langchain, Langflow, Flowise ✅ AI/Data Science: Deep Learning, Sagemaker, AWS Bedrock, Vertex AI, NumPy, Pandas, RNN, LSTM ✅ Data Visualization: Power BI, Tableau, Matplotlib, Looker, d3.js ✅ Big Data Technologies: Apache Spark, Hadoop, Kafka, Databricks, Airflow, BigQuery ✅ DevOps & MLOps: Docker, Kubernetes, CI/CD, MLflow, GitHub Actions, Kubeflow, Terraform ✅ Natural Language Processing (NLP): NLTK, SpaCy, Hugging Face Transformers, BERT ✅ Databases: Snowflake, PostgreSQL, MongoDB, MySQL, SQL Server, Redshift, GraphQL ✅ Web Development: PHP, Ruby on Rails, Flask, Django, React, Node.js Let’s Collaborate: Harness the power of AI and data science to propel your business forward. Whether you need assistance with generative AI modeling, data engineering, or strategic AI implementations, I’m here to help. Contact me today to discuss your project and discover how we can achieve your business goals together! Feel free to book an initial 30-minute consultation.

Principal Data Engineer & Architect with 14+ years building large-scale, cloud-native data platforms. I operate at both architecture and implementation depth — defining system design and cost models while writing production-grade SQL and Python. What I Deliver - End-to-end data platform architecture (ingestion → transformation → serving → AI) - Large-scale warehouse migrations (led a 1.5 PB Redshift → Snowflake + Iceberg migration — zero data loss, 30-40% cost reduction) - Multi-tenant Snowflake environments (RBAC, isolation, workload management) - Production orchestration with Airflow, dbt, and CI/CD - 40%+ cloud cost reductions through architecture redesign - AI-ready data layers for ML, LLMs, and advanced analytics Stack: Snowflake, BigQuery, Redshift, Databricks | AWS, GCP, Azure | Airflow, dbt | Spark, Polars, DuckDB | Python, SQL | Apache Iceberg, Parquet Certifications: AWS Solutions Architect, Snowflake SnowPro Core + Advanced Architect, Microsoft Fabric DP-700, IEEE Senior Member Clients include: Cadillac Fairview (~2 PB migration), Bank of America, SevenRooms (Fivetran case study), AppFolio (16K databases), MINDBODY (100K+ databases) If you need leadership-level architecture with hands-on engineering execution — let's talk.

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.

I help businesses turn raw data into clean, reliable pipelines and dashboards they can actually use. With 3 years of ETL experience at a commercial bank, an MSc in Data Science from the UK, and an official Snowflake certification, I bring production-level skills to every freelance project I combine strong production experience in PL/SQL and enterprise data pipelines with modern cloud tools to deliver scalable analytics solutions. My core expertise includes: Data warehousing and ELT pipelines in Snowflake. Data modeling and transformations with dbt. Building interactive dashboards and reports in Power BI. Python, SQL, AWS S3, and API development (FastAPI). Pipeline orchestration and automation. I recently completed the Snowflake Data Engineering Professional Certificate, Microsoft Power BI Data Analyst Professional Certificate, and Google Advanced Data Analytics Professional Certificate, and I actively apply these skills in real-world environments. Notable work: Built end-to-end sales analytics solution (S3 → Snowflake + dbt → Power BI) Designed and optimized ETL processes for banking data using PL/SQL and OBIEE Medallion architecture implementations and predictive modeling projects. I’m detail-oriented, responsive, and focused on delivering clean, well-documented, production-ready work. Whether you need a new Power BI dashboard connected to Snowflake, migration from legacy systems, data modeling, or full pipeline development — I can help. I’m currently available for freelance projects and happy to hop on a quick call to discuss your requirements with no obligation. Looking forward to supporting your data goals! I hold the following certifications: ❄️ Snowflake Data Engineer Certificate + 5 Snowflake Badges 📊 Microsoft Power BI Associate Data Analyst Certificate 🔍 Google Advanced Data Analytics Certificate

AI Solutions Architect & Sr Data Engineer | 10+ yrs building production data platforms. Production GenAI on Claude, Bedrock, RAG, LangChain — Stock Analyst Bot running live in prod. Deep Snowflake/dbt/Airflow expertise shipped across fintech, FMCG, D2C, gaming, and real estate. What I deliver: → Production GenAI: Claude/Bedrock RAG pipelines, LangChain agents, vector-search systems → Snowflake implementation, migration & optimization → End-to-end ETL/ELT pipelines (Airflow, dbt, PySpark) → Cloud data platforms on AWS (S3, Glue, Athena, Lambda) and Azure (ADF, Blob Storage) → Data warehouse design & data modeling → Data quality frameworks & governance Recent results: • Production AI Stock Analyst Bot — real-time market data + LLM-driven analysis, deployed and running live • Built a multi-tenant Snowflake platform centralizing data from 6+ acquired companies — created a custom Data Quality Management Framework that became the company standard • Led a 6-month D2C data project integrating 8+ sources (Google Ads, Meta, Shopify, Myntra) into Snowflake domain warehouses — managed a team of 5 engineers • Designed a cloud-agnostic analytics platform processing millions of player records using AWS S3, Airflow, Athena & Snowflake — achieved 50% faster processing and 20% cost reduction I'm responsive (typically within 2-4 hours), available for 30+ hrs/week, and comfortable working in AEST/NZST/JST-friendly schedules. Currently renewing SnowPro Core and pursuing Anthropic Claude Certified Architect.