🏆 Top Rated Plus 🌟 100% Job Success 🤝 Satisfied Clients ⏱ Quick Turnaround 📞 Clear Communication Why work with me? Proven Experience: 💎 Backed by 15+ years of delivering results through scalable, cost-efficient data solutions. Technical Expertise: 💎 AI-Data Architecture: I deliver real-world-ready data through automated, reliable pipelines. The new AI era requires a new data platform. 💎 Conversational Analytics & AI Agents: Enable users to chat with their data through AI-driven interfaces. Google Conversational Analytics API and Gemini Enterprise 💎 Data Visualization: Skilled in Looker, Looker Studio, Power BI, Tableau, Superset, and others. 💎 Data Web Portals: Skilled in developing custom embeddable solutions and full web platforms under your own brand and domain. 💎 Database Management: Expertise in SQL (BigQuery, SQL Server, Oracle, MySQL, PostgreSQL, Snowflake) and NoSQL systems. 💎 ETL: Experience with both streaming and batch pipelines using Airflow, Apache Beam, Kafka, Debezium, Pub/Sub, and others. 💎 Data Modeling: Proficient with dbt, Dataform, and PySpark. 💎 Version Control: Comfortable with Git-based tools (GitHub, Bitbucket, GitLab, Azure DevOps). 💎 Cloud Platforms: Certified and experienced in GCP, AWS, and Azure. 💎 Unstructured Data: JSON, XML, Excel, Google Sheets. 💎 GA4 Data: Google Analytics 4 for advanced analysis. Soft Skills & Work Ethic: 💎 Versatile & Adaptive: Quick to learn new tools, roles, and business domains. 💎 Value-Driven: Focused on delivering high-impact outcomes with cost-efficiency. 💎 Detail-Oriented: Committed to precision and quality in every task. 💎 Reliable & Time-Conscious: Consistent delivery of high-quality work on time. 💎 Leadership: Capable of guiding teams and leading initiatives when needed. 💎 Analytical: Skilled at breaking down complex problems and finding effective solutions. 💎 Collaborative: Strong team player, effective in multidisciplinary environments. Scalable Technical Capacity: I’m supported by a network of 15+ specialists, including Solution and Data Architects, Developers, Designers, Process Specialists, DevOps Engineers, Machine Learning Engineers, Data Scientists, Data Analysts, and more. We work collaboratively to ensure your project receives the strongest possible technical support, from strategy to execution. How I approach projects: - Kick-off meeting to review requirements and deliverables - Action plan development using a project management tool - Weekly demo meetings to showcase progress - Detailed time and task tracking - Continuous feedback loop to ensure alignment and improvement - Complete documentation of the solution

I help companies turn fragmented data into trusted analytics used by leadership and operations. I specialize in building modern data platforms, from ingestion to analytics, using dbt, SQL, cloud data warehouses, and BI tools. My work focuses on clarity, correctness, and business impact, not just pipelines. What I typically help with: Designing scalable analytics engineering layers (dbt, dimensional modeling) Building and optimizing ELT pipelines into Snowflake / BigQuery / Redshift Creating trusted metrics and dashboards for leadership and operations Improving data quality, testing, and CI/CD for analytics Migrating legacy reporting to modern data stacks I work closely with stakeholders to translate business questions into clean data models and actionable insights. If you need analytics that people actually trust and use, let’s talk.

Most companies already have data. What they often lack is a reliable system that turns that data into something consistent, accurate, and usable across the business. I help companies move from fragmented data and manual reporting to structured analytics systems by building pipelines, defining metrics, and creating scalable data models that teams can actually trust. Whether you're trying to understand revenue performance, customer behavior, marketing ROI, or operational efficiency, I focus on making sure your data is not just available, but clean, well-modeled, and decision-ready. With 3+ years of experience in data analytics and business intelligence, I now work at the intersection of analytics and data engineering: building modern data workflows using tools like dbt, SQL, and cloud data warehouses. Recent Impact • Built structured data models and transformation layers that standardized reporting across teams and improved consistency in key business metrics • Designed analytics workflows that reduced manual reporting effort and improved data accessibility for stakeholders • Developed cohort and behavioral models that clarified retention patterns and supported more targeted growth strategies • Identified and resolved data inconsistencies across multiple sources, improving trust in reporting and reducing discrepancies How I Help Businesses ✔ Build and optimize ELT pipelines for clean, reliable data flow ✔ Design data models (fact/dimension tables, star schemas) for scalable analytics ✔ Implement dbt transformation layers for structured, maintainable data workflows ✔ Define and standardize business metrics across teams ✔ Validate and reconcile data to ensure accuracy and consistency ✔ Write optimized SQL for large datasets and complex transformations ✔ Build dashboards on top of well-structured data models ✔ Translate business questions into structured data solutions Types of Projects I Work On • End-to-end analytics engineering (raw → staging → marts → dashboards) • dbt project setup, modeling, testing, and documentation • Data pipeline orchestration (Airflow, GitHub Actions, or similar tools) • Data modeling for analytics (fact tables, dimensions, metric layers) • Marketing and product analytics infrastructure • Revenue and performance analytics systems • Data validation, testing, and reconciliation workflows Tools & Technologies Data Warehousing & Modeling BigQuery dbt (modeling, testing, documentation) SQL (advanced: joins, CTEs, window functions) Orchestration & Workflow Apache Airflow (learning / applied) GitHub Actions (pipeline automation) Analytics & BI Power BI Looker Studio Data Processing & Analysis Python (pandas, matplotlib, seaborn) Excel / Google Sheets Data Sources GA4 (event-level data) CRM systems Marketing platforms SQL databases Google Cloud Platform Portfolio Projects Modern Data Stack Project (dbt + BigQuery) Built a structured analytics pipeline using dbt to transform raw data into staging and mart layers, enabling scalable reporting and consistent metric definitions Marketing Data Pipeline & Performance Analysis Integrated GA4 and campaign data into a unified dataset for evaluating conversion, attribution, and ROI Customer Cohort & Retention Modeling Developed cohort-based models to track lifecycle behavior and identify high-value segments Operational KPI Tracking System Designed a centralized reporting system to monitor performance and support leadership decision-making Why Clients Work With Me • I build systems, not just reports • Strong focus on data accuracy, validation, and testing • Ability to structure messy, real-world data into usable models • Experience working with modern data stack tools (dbt, warehouses, pipelines) • Clear communication across technical and business teams • Solutions designed to scale as your data grows My Approach 1️⃣ Understand the business problem and data landscape 2️⃣ Structure and clean raw data sources 3️⃣ Build transformation layers (dbt / SQL models) 4️⃣ Define metrics and validate data accuracy 5️⃣ Deliver reporting systems and insights that support decisions If you're looking for someone who can not only analyze your data but also build the systems that make your data reliable, scalable, and easy to use, feel free to reach out. Tell me about your data stack and what you're trying to achieve

Your dashboards are slow, your data sources don't agree with each other, and leadership has stopped trusting the numbers, I rebuild the analytics layer underneath, using dbt on Snowflake or BigQuery, so your team makes decisions on data you can actually defend. With over 11,000 hours logged and 80+ projects delivered on Upwork, I've worked with growth-stage SaaS startups, fintechs, retail and eCommerce operators, real estate firms, and global research organizations to design dbt-based data models, build end-to-end ETL/ELT pipelines, and deliver BI systems that eliminate reporting delays. A few projects I've led recently: CGIAR - Built a centralized enterprise analytics platform on Microsoft Fabric and Power BI, replacing fragmented reporting across a global research consortium. Sojo Industries - Designed a continuous intelligence layer delivering real-time visibility and enterprise-grade analytics for retail operations. Markets4U - Migrated a fast-growing fintech off Metabase, Oracle BI, and Vertica onto a high-performance analytics stack built for real-time decisions. Westwise - Centralized fragmented data sources to power marketing and sales insights for a legal services platform. ECAP - Delivered analytics and financial modeling for a private real estate investment firm managing strategic property portfolios. Voice AI Automation Company - Integrated Stripe, HubSpot, GA4, Google Ads, Linear, Pylon, and MongoDB into a unified, business-ready data model for an AI-first SaaS company. How I work across the analytics engineering stack: Data Modeling and Transformation - I build dbt models on Snowflake and BigQuery that turn raw, multi-source data into clean, analytics-ready datasets. Strong focus on testing, documentation, and modular design so your data layer stays reliable as it scales. Data Engineering and Pipelines - I design and maintain ETL/ELT pipelines using SQL, Python, and Apache Airflow across AWS, GCP, and Azure. Whether you need to ingest from APIs, sync SaaS tools, or move data between warehouses, I build pipelines that don't break when your business grows. Business Intelligence and Dashboards - I build interactive dashboards in Power BI, Tableau, and Looker Studio that turn analytics-ready data into clear, actionable insights for stakeholders. KPI tracking, executive reporting, self-service analytics — designed for the people who actually use them. Cloud and Warehouse Expertise - Deep work across Snowflake, BigQuery, PostgreSQL, and Redshift, with hands-on experience integrating GA4, HubSpot, Salesforce, Stripe, and other SaaS data sources into unified warehouses for cross-functional reporting. Why clients keep working with me: - 11,00+ hours logged, 100% Job Success Score, Top Rated Plus - End-to-end ownership from data ingestion through dbt modeling to dashboard delivery - I translate technical complexity into business outcomes, not jargon - Long-term clients rehire me for scale-up support, audits, and platform migrations - Available for project-based work and ongoing analytics engineering partnerships If your reports are slow, your data sources don't talk to each other, or you can't trust the numbers in your dashboards — let's talk. I'll audit your current stack, identify what's broken, and rebuild the foundation your team needs to make confident, data-driven decisions. Send me a message and I'll map out a plan tailored to your analytics, data engineering, or dashboard work — clear scope, real outcomes, no fluff.

I help companies go from scattered data and inconsistent reporting to a reliable, scalable analytics layer built on Google Cloud Platform, powered by dbt, and delivered through Looker. For long term projects, happy to offer a FREE 1 week period of work, let's call it probation period. My results are faster queries, trusted metrics, and dashboards that business teams actually rely on. Let's have a free 30 mins call to discuss your needs, possibilities and data challenge. I'm Peter , a Top Rated Plus (top 3%) Certified Data Engineer (+ Analytics Engineer) with over 9 years of experience transforming complex data into actionable insights for global clients and start ups across finance, hospitality, SAAS, eCommerce, and tech. I specialize in building scalable data solutions that reduce costs, accelerate decision-making, and unlock new revenue streams. My experience: - Worked with leading organizations like KPMG, Savings United, IU Group, aleno, Andela, and the World Bank to define, maintain and optimize their data solutions. - Cut data processing time and operational costs by 20 percent through optimized pipelines and optimized queries and data storage techniques. - Helped a hotel SaaS platform unlock a new revenue stream via client-facing analytics leading to a paid embedded dashboard revenue stream. - Built and tracked KPIs that improved business steering and day-to-day execution delivered timely, cheaply and reliably. Tech & Tools I work with: GCP (BigQuery, Cloud Functions, Cloud scheduler, Cloud Logging, IAM, Compute Engine, Billing and optimization), AWS, Looker (Semantic layer, LookML,Looker API, administration, migration, setup, training, costs, looker embed, pdts), Power BI, Alteryx, dbt, dlt, Python, SQL, REST APIs, Airbyte, Airflow, Docker Some of my Certifications: Project Management Professional (PMP) - Project Management Institute (PMI) Google Cloud Professional Data Engineer Responsible AI with Google Cloud Generative AI Fundamentals – Google What I Deliver: - Automated, scalable pipelines to replace error-prone manual processes - Insightful dashboards and metrics that fuel performance and decision-making - Machine learning integrations and fraud detection solutions - Clear, timely communication and documentation - Google Looker setup, development, optimization and administration - Collaboratively leading agile teams towards accurate, timely and impactful data solutions. Clients consistently rate my work 5 stars for delivering high-quality, high-impact data solutions with a collaborative mindset. Whether you need a short-term fix or a long-term data strategy partner, I bring enterprise-grade quality to the Upwork platform. Let’s connect and discuss how I can help you leverage your data for strategic advantage.

I’m Kunal Sharma, an Analytics Engineer, BI expert, and Data Leader with 13+ years of experience building production-grade analytics for global enterprises (Sanofi, Otsuka, Amgen) and fast-growing startups. Trusted by 30+ clients across 8+ industries, I specialize in analytics engineering (dbt, data modeling, modern data warehouses) alongside business intelligence, dashboards, and advanced analytics. As a data lead in large organizations, I’ve defined data strategy, designed scalable analytics architectures, standardized KPIs across teams, and driven adoption of self-service analytics—ensuring insights are trusted, consistent, and decision-ready. I’m a Top-Rated Plus freelancer with a 100% success rate, known for solving complex data problems with clarity and business context. I also lead a carefully selected analytics team under my direct supervision, allowing me to deliver high-quality work efficiently and at competitive rates. Whether working hands-on or through my team, I guarantee production-quality data models, clean BI layers, and actionable insights. 🔹🔹🔹🔹🔹🔹🔹🔹🔹🔹 🔧 Services Offered 1️⃣ Business Intelligence & Self-Service Analytics ⚡ Executive & Operational Dashboards (Power BI, Tableau, QuickSight, Looker) ⚡ Standardized KPI Frameworks & Metrics Definitions ⚡ Self-Service BI Enablement for Business Teams ⚡ Ongoing Reporting, Governance & Performance Optimization ⚡ Rapid Analytics for Ad-Hoc & Leadership Queries 🗣 “Top presentation skills” — Manager, Sanofi 🗣 “Skilled data visualization guru” — Co-Founder, TripleLine Brands 2️⃣ Analytics Engineering & Data Modeling ⚡ dbt-Based Transformations & Production-Grade Analytics Models ⚡ Dimensional & Semantic Data Modeling for Warehouses ⚡ Data Quality Checks, Testing & Documentation ⚡ API-Driven Data Extraction via Custom Python Scripts ⚡ Scalable Data Pipelines & Automation 🗣 “Unparalleled attention to detail” — CEO, Scaleleap 3️⃣ Advanced Analytics, AI & ML ⚡ Predictive Modeling, ML Training & Evaluation ⚡ Customer Clustering, Segmentation & Cohort Analysis ⚡ Generative AI, LLM Use-Cases & Prompt Engineering 🗣 “Strong as a data scientist” — Principal, Axtria Inc 4️⃣ Data Leadership, Strategy & Enablement ⚡ Data Strategy, Analytics Roadmaps & Architecture Design ⚡ KPI Standardization & Metrics Governance Across Teams ⚡ Analytics Operating Models for Scale & Consistency ⚡ Stakeholder Alignment & Decision-Focused Insights ⚡ End-to-End Analytics Project Leadership 🗣 “Focused on the big picture” — Director, Axtria Inc 🗣 “Communicates very well” — Founder, SellerPlex 🔹🔹🔹🔹🔹🔹🔹🔹🔹🔹 🛠 Tools & Technologies 📊 Business Intelligence & Visualization Power BI, Tableau, Amazon QuickSight, Looker, Metabase, Klipfolio, Google Sheets, Excel 🏗 Analytics Engineering & Data Warehousing dbt, SQL, AWS S3, Amazon Athena, Redshift, Snowflake, BigQuery, Azure SQL, Azure Synapse 🔄 Data Pipelines, Automation & CI/CD GitHub, CI/CD Pipelines, dbt Cloud / Core, Power Query, Power Automate, AWS-based Data Orchestration 📈 Advanced Analytics & AI Python, Pandas, Polars, Scikit-learn, TensorFlow, Claude Code, Generative AI / LLM Tooling 🔹🔹🔹🔹🔹🔹🔹🔹🔹🔹 Thanks for taking the time to read this. If you're interested in working together, feel free to send me a message by pressing the button in the top right corner. Looking forward to connecting!

A marketing data scientist specializing in the Google Stack, fluent in SQL, Python & Javascript. - Cloud: Google Cloud Platform (GCP). - Data Visualization: Looker Studio & Power BI. - Data Engineering: Cloud Composer (Apache Airflow) & Cloud Functions. - Data Modeling: BigQuery, dbt (Data Build Tool) & Snowflake. - CI/CD: Github Actions. - Analytics: Google Analytics 4 (GA4) & Mixpanel. - Tracking: Google Tag Manager (GTM), server side, cross domain & user tracking. - ETL: Airbyte. - Machine learning: Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), Uplift Modeling (Incrementality). Let's connect and transform your data into actionable insights!

Data Engineer with 8+ years of experience designing scalable ETL pipelines, cloud data warehouses, and BI solutions using Power BI, Looker, Looker Studio and Tableau that turn raw data into reliable, decision-ready insights. I help businesses automate reporting, reduce manual work, and build high-performance analytics on GCP, Azure, and AWS. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: • Expertise in building efficient ETL processes with Apache Airflow, Cloud Composer, and Dataform. • Skilled in GCP, Azure, and AWS, with expertise in key services like BigQuery, Cloud Functions, Synapse, and Redshift for optimized data warehousing • Proficient in data modeling and data transformation with DBT for clean, organized datasets. • Experienced with Docker for containerization and Google Cloud Run for scalable deployments. • Skilled in real-time data processing using Google Pub/Sub and data management with Data Lake. 𝐀𝐏𝐈 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: • Data extraction using Screaming Frog and DataforSEO. • CRM and marketing data integration with APIs like Apollo, HubSpot, and Facebook. • Search analytics expertise with GA4, Google Search Console, and SerpAPI. • Comprehensive API management for seamless, cross-platform data connectivity. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: • Skilled in Power BI, Looker, and Tableau for creating clear, insightful dashboards. • Proficient in Python for data analysis, statistical modeling, and visualization. • Advanced SQL skills for efficient data querying and manipulation. • Experienced in data preparation and transformation, ensuring high-quality analytics. My strong communication and collaboration skills ensure smooth teamwork and project management. Flexible with working hours, I adapt to meet specific client needs and timelines.

I build Enterprise Data Platforms & Reporting Systems where every Power BI Dashboard is backed by a clean Database · reliable ETL Pipeline · strong Data Modeling & practical Data Analysis As a Data Analyst & Data Engineering specialist I help companies turn scattered data into trusted reporting systems using: Azure DevOps Snowflake Microsoft Power BI Microsoft Azure SQL Database Microsoft SQL Server Azure Data Factory Databricks Platform modern Data Warehousing architecture My core focus is simple: Azure DevOps for reliable delivery Power BI Dashboard systems for executive reporting Database architecture for real scale Snowflake for scalable Data Warehousing ETL Pipeline automation for stable data flow Data Analyst thinking behind every business metric I usually help when data is spread across: SQL Server Microsoft Azure SQL Database PostgreSQL MySQL NoSQL APIs ERP systems Excel files Google Sheets Snowflake Azure Data Factory Azure Data Platform Azure Databricks Databricks Platform dbt data build tool workflows I design the full path from raw data to business reporting: Data source to ETL Pipeline to Database to Data Warehousing to Data Modeling to Data Analysis to Power BI Dashboard to Data Visualization For Azure projects I use Azure DevOps · Azure Data Factory · Git · Terraform · CI/CD · DataOps · structured deployment workflows to make Data Engineering predictable. Azure DevOps is especially useful when your ETL Pipeline needs version control · automated releases · environment separation & stable deployment For Snowflake projects I design Snowflake Database architecture · Snowflake Data Warehousing · Snowflake cost optimization · dbt data build tool workflows · Database layers · Data Integration logic & reporting-ready Data Modeling. A Snowflake system should not just store data. It should make every Dashboard faster · cleaner & easier to trust For Power BI projects I work across the full lifecycle: requirements Database audit ETL Pipeline logic Data Modeling DAX KPI Scorecards KPI Dashboards Dashboard Design Microsoft Power BI reporting Microsoft Power BI Data Visualization Power BI Developer support Power BI Expert consulting Power Bi Report Builder performance tuning A recent Azure Data Architect project included ADF ingestion workflows + incremental & full-load pipelines + reusable templates + logging + scheduling + error handling + schema drift handling & bronze layer reliability. That is the type of practical Data Engineering foundation I build before dashboards are created I can help with: ▪ Azure DevOps workflows for CI/CD · Git · Terraform · DataOps & controlled data releases ▪ ETL Pipeline and ETL Pipelines architecture with Azure Data Factory · SQL · Python · APIs & dbt ▪ Snowflake Database architecture · Snowflake Developer tasks & Snowflake Data Warehousing ▪ Microsoft Azure SQL Database · Microsoft SQL Server · SQL Database · SQL Server · PostgreSQL ▪ MySQL & NoSQL optimization ▪ Databricks Platform & Azure Databricks workflows for scalable processing ▪ Data Modeling with star schema · DAX · semantic models · KPI logic & Database reconciliation ▪ Microsoft Power BI Dashboard development for finance · healthcare · sales · SaaS · ecommerce & operations ▪ Data Visualization · Dashboard Design · Looker Studio · Tableau Dashboard migration & Excel Dashboard migration ▪ Business Intelligence · KPI Dashboard · KPI Scorecards · Automated Reporting & Reporting Tool setup ▪ Python automation · Python Data Analysis · Data Science · Machine Learning · Statistics Data Analysis · Data Analytics & MLOps-ready reporting If your Database is slow I optimize the structure If your ETL Pipeline is unstable I redesign the workflow If your Snowflake warehouse is expensive I review the architecture If your Power BI Dashboard is beautiful but unreliable I rebuild the Data Modeling layer If your reporting still lives in Excel Dashboard files I migrate it into a scalable Power BI Dashboard & Database setup If your team needs: Database Architect Azure Data Engineer Data Engineer Data Analyst Power BI Developer Snowflake Architect Business Intelligence specialist I can help define the right technical path before development starts I'm not just a Power BI developer. I work as a Data Analyst · Data Engineer & Data Architect who understands how raw data becomes business value I also help teams with: Data Quality Data Governance Data Cleaning SQL Reporting Power BI Reporting Database Documentation KPI logic stakeholder-ready dashboards for ongoing business decisions Send me your current reporting problem & I will show you how I would structure: Azure DevOps workflow Snowflake Database ETL Pipeline Data Modeling Microsoft Azure SQL Database layer Power BI Dashboard ⭐⭐⭐⭐⭐ 🏆 Wait, you’ve actually made it to the very end! I highly value your attention to detail and professional approach. As a reward for your genuine interest, I’ll grant you a discount. Just mention "1 in 100" in your first DM

We turn fragmented data into your most valuable asset. As the Data Lead at Toolshed and a YC Alum team (Tajir), we specialize in building the high-scale data infrastructure that powers modern enterprises. We do not just move data; we architect the "Single Source of Truth" using the modern data stack: Airbyte, dbt, BigQuery, and Retool. Most companies are drowning in Data Debt—messy pipelines, siloed ERPs, and manual reporting. We provide the engineering rigor and product thinking required to build modular, Domain-Driven Design (DDD) architectures that scale. Whether you are a FinTech startup needing revenue forecasting or a growing E-commerce brand struggling with SKU management, we deliver executive-grade data solutions. 🔹 THE TOOLSHED DATA METHODOLOGY - Architecture First: We design modular DDD systems on GCP and AWS that prevent data silos before they start. - Automated ETL/ELT: We build robust pipelines using Airbyte, Fivetran, and custom Python to ensure 100% data integrity. - Actionable Intelligence: We don't just provide "data"; we build the Retool and Bubble interfaces that allow your team to act on it in real-time. 🔹 FEATURED SUCCESS: VERGO (FINANCIAL DATA WAREHOUSING) Vergo’s construction clients faced fragmented financial data across diverse ERPs, making forecasting impossible. - Unified Data Warehouse: Designed a modular architecture on GCP, integrating multiple ERP sources into BigQuery. - Advanced ETL: Built seamless pipelines using Airbyte and dbt for data consolidation and complex transformations. - ML-Powered Forecasting: Developed a regression-based ML model to predict monthly revenue accurately. - WIP Metrics: Implemented partitioned tables in BigQuery to provide low-cost, on-demand access to Work-In-Progress metrics. 🔹 FEATURED SUCCESS: SULLY.AI (USAGE & BILLING ARCHITECTURE) We replaced manual tracking with a centralized, automated financial ecosystem. - Hybrid Data Pipeline: Built modular pipelines using Airbyte and Fivetran to consolidate HubSpot and Stripe data into BigQuery. - Custom Python Engineering: Developed production-ready scripts for Firestore and GCS sync with automated schema evolution and dynamic flattening. - Granular Analytics: Created real-time visualizations for Agent Usage Metrics (Scribe, Medical Coding, Receptionist) and API performance trends. - Anomaly Detection: Engineered logic to monitor system health and trigger alerts for critical data drops. 🔹 FEATURED SUCCESS: BLI (SALESFORCE PERFORMANCE ANALYTICS) We translated raw Salesforce event history into actionable broker performance insights. - Salesforce REST API: Integrated Opportunity and FieldHistory objects to track real-time status updates. - Velocity Logic: Developed complex SOQL queries to calculate "time-in-stage" using calendar-hour logic for every broker. - Advanced Visualization: Deployed Sankey Diagrams to map deal flow and identify drop-off rates between stages. - Drill-Down Logic: Built an interface to move from high-level aggregations directly into specific client details. 🔹 FEATURED SUCCESS: HOUSE OF SYLAS (SCALABLE OPERATIONS) - SKU Automation: Developed automated systems to manage unique Stock Keeping Units (SKUs) for a high-growth gemstone business. - Centralized Warehousing: Built a unified data warehouse to consolidate fragmented business information. - Workflow Optimization: Streamlined internal processes to enable faster product updates and improved scalability. 🔹 THE TOOLSHED DATA STACK - Data Warehousing: Google BigQuery, Snowflake, PostgreSQL, SQL. - Engineering/ETL: dbt (Data Build Tool), Airbyte, Fivetran, Python. - Frontend & UI: Retool (Official Partner), Bubble.io, React.js. - Cloud & API: GCP, AWS, Salesforce API, GraphQL, REST. "They demonstrated exceptional skills not only as developers but also as true product thinkers... executing with speed and precision." — Rich, CEO of Vergo. If you are ready to turn your data chaos into a competitive advantage, let us connect for a discovery call.