Hire the Best Talend Data Integration Specialists

4+ years building BI end-to-end Infrastructure. I sit with the ambiguity, ask what your team hasn't, and translate fuzzy business goals into a clear data model and KPI framework that holds up under scrutiny. 🧠 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐫𝐢𝐧𝐠 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐭𝐞𝐚𝐦 🔹 Ambiguity → Clarity: I define the right questions and metrics before building anything, so you measure what matters, not what's easy. 🔹 Semantic & Data Modeling: Star schemas, slowly-changing dimensions, reconciled grain, single source of truth 🔹 Scalable Architecture: Pipelines and models designed for "Day 2", maintainable, cost-aware, documented, built to grow instead of breaking at scale. 🔹 Context Integration: I unify Stripe, Shopify, Zoho, GA4, Ads platforms, etc. and CRMs into one coherent ecosystem that mirrors how your business actually operates. 🔹 Narrative & Decision Design: Every visual answers a business question and points to an action, analysis a CEO can act on in seconds. ⚙️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅 🔹 BI & Viz: Power BI, Looker Studio, Zoho Analytics, Metabase, Apache Superset, Domo, Databox 🔹 Modeling & Query: SQL, DAX, Power Query (M), Python, dbt, Excel 🔹 Warehousing: BigQuery, Cloud SQL, Snowflake, SQL Server, MySQL, Firebase 🔹 Pipelines & ETL: Make, n8n, Fivetran, Apps Script, Cloud Run, Windsor AI, Coupler IO, Supermetrics 🔹 Sources: Stripe, Shopify, Zoho CRM, GA4, Google/Meta/TikTok Ads, Search Console, etc. 🔹 AI layer (the plus): OpenAI & Claude APIs, Claude Code, Codex, conversational analytics, anomaly detection, predictive models, and agent workflows for automated briefings & alerts 🚀 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁 🔹 Business-first, not tool-first: I start with your objectives and constraints, not your dataset. 🔹 End-to-end ownership: From auditing sources and defining KPIs to modeling, building, and publishing, I run the full lifecycle. 🔹 Transparency: You own your data and infrastructure. I document every step, so nothing is a black box. 🔹 AI as leverage, not a gimmick: I automate the repetitive parts so the strategic parts get more of my attention. ⭐ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝘁𝗮𝘆 🔹 Reliable communication and clear expectations , no micromanagement needed. 🔹 Insights in plain language, for technical and non-technical stakeholders alike. 🔹 Proactive: I diagnose and recommend, not just deliver charts. 🔹 Consistent delivery, on time, with care. 💡 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 If your business generates data but not clarity, let's fix that. I'll design the model, architecture, and dissemination layer that turn your numbers into a durable competitive advantage, clear, scalable, and genuinely yours.

🏆 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 am a tech-agnostic data engineer who enjoys solving complex data problems, finding patterns in messy datasets, and making sure the work actually supports the business. My focus is always on clean architecture, performance, and making data useful - not just moving it around.Here is what I have worked with: - Programming & Scripting: Python (Flask, FastAPI, Django, Selenium, PySpark), SQL - Data Engineering & Integration: Talend, Mage.ai, Apache Airflow, Airbyte, Databricks, Kafka, Debezium - Databases & Data Warehousing: Data Modeling, PostgreSQL, MySQL, Snowflake, Greenplum, MongoDB, Firebase, ClickHouse - Cloud & DevOps: AWS (Lambda, API Gateway, S3, RDS, SQS and more), Docker, Kubernetes, Azure DevOps, Terraform, CloudFormation - Security & Compliance: Secure and compliant pipeline design (HIPAA, GDPR, SOC 2), data governance, privacy-first architectures - Testing & Automation: Postman, Cypress.io, Swagger, Automated Data Workflows - Data Visualization: Power BI, Metabase, Google Data Studio, Grafana - Collaboration & Leadership: Cross-functional team mentoring, process optimization, data-driven decision-making

20-year AI, Data and BI engineer and enterprise strategist who has architected, built, sold, and delivered data solutions , with top individual awards at five consecutive technology giants. ⏤ 𝗖𝗮𝗿𝗲𝗲𝗿 𝗔𝘄𝗮𝗿𝗱𝘀 ⏤ #1 Quota Carrier & Top SE, Fivetran ('23–'24) Best Partner Trainer, Databricks ('25) BD SE of the Year, Qlik Top BD SA, Databricks ('19) Employee of the Year & President's Club, Attunity ('18) Sales Academy Winner & Big Data Black Belt, Oracle IU Young Alumni of the Year ('12) ⏤ 𝐂𝐚𝐫𝐞𝐞𝐫 𝐏𝐚𝐭𝐡 ⏤ ▸ Fivetran / dbt Labs — Sr. Solutions Engineer & ERP CoE Lead. #1 quota carrier two years running. Closed $2.5M annual deal for the 5th largest global hedge fund. Architected cloud migrations for hundreds of Fortune 500 accounts into Snowflake, Databricks, and BigQuery. ▸ Speedboat.pro — Principal Architect & Databricks Training Partner of the Year ('25). 100+ training engagements across ML, data engineering, deep learning, and GenAI for Fortune 100 clients. ▸ Qlik — Principal Solutions Architect. Built SAP Digital Decoupling program generating $40M in referred business. 2x Data+AI Summit speaker. ▸ Databricks — Sr. Solutions Architect. Built CoEs across 86 C&SI partners. Team hit 300% quota Q1 2019, sourced $8.4M in Q4. Onboarded ~10,000 partner consultants. Key wins: T-Mobile, CVS Health, Walmart. ▸ Attunity — Director of Technology Solutions. Co-authored NiFi for Dummies (1M+ copies, $14M in referrals). Employee of the Year 2018 and President's Club. ▸ Oracle — Sr. Sales Consultant, Top 3 ranked SE. Core to billion-dollar EULA closings at GM, Ford, P&G. ▸ Domino's Pizza — BI & DW Architect. Led Netezza-to-Hadoop replatforming; Store Hours analysis returned $10M in savings. ▸ IMC Financial Markets — DBA. Built 50TB SQL Server HPC environment; $280M increase in trading volume. ▸ Halo BI — Chief Product Evangelist. Led first million-dollar deals at a supply chain analytics vendor later acquired for $85M. ⏤ 𝗗𝗮𝘁𝗮𝗠𝗮𝗿𝘁𝘇: 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗮𝗹 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 (2007–𝗣𝗿𝗲𝘀𝗲𝗻𝘁) ⏤ 19-year consulting practice serving IRS, Apple, Chevron, Coca-Cola, and 35+ enterprise clients. Wrote curriculum for Microsoft, Amazon, Google, IBM, Cloudera, and Qlik. 10,000+ professionals trained. Key engagements: ▸ IRS Modernization (Deloitte, Booz Allen, IBM) — Databricks SME Lead: Business Master File modernization, EDP/CADE2 pipeline performance tuning. Active Public Trust/MBI clearance. ▸ Molina Healthcare — Lead Databricks Architect. CDC into Azure Databricks with 60+ dynamic schemas from 12 sources. ▸ Campbells — Lead Databricks Engineer. Metadata-driven SAP connector orchestration framework. ▸ Apple Maps (Pluralsight) — SparkML tuning: hyperparameterization, model selection, custom UDFs. ▸ LiveLine Technologies — VP of Engineering. TensorFlow forecasting with online learning and reinforcement agents deployed to production for manufacturing optimization. ▸ Alivia/UST/Colorado BCBS — Full ETL rewrite and NLP taxonomy extraction from unstructured clinical notes for claims fraud detection. ▸ Capgemini/Coca-Cola — Pod Lead for Databricks CoE. Spark ingestion framework and metadata-driven design patterns. ▸ Anaplan — Sr. Product Manager. Product strategy, presales bootcamp, J&J and Arrow workshops. ▸ Nationwide — Customer Journey CDP strategy, journey mapping, and recommendation engine design. ▸ KPMG/Chevron — Master Data Management on Databricks. ⏤ 𝗛𝗼𝗿𝗶𝘇𝗼𝗻𝘁𝗮𝗹 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 ⏤ Data Science & AI: Python, Spark, TensorFlow, ML/AutoML, LLMs, GenAI, Deep Learning, NLP Data Engineering: SQL, dbt, Airflow, Fivetran, Kafka, Kinesis, EventHubs, SSIS, ADF, Glue, DataStage, Talend Databases: PostgreSQL, MS SQL Server, Snowflake, Databricks, Oracle, Teradata, Netezza Cloud: ▸ Azure: Data Factory, Synapse, Purview, AI Foundry, Document Intelligence ▸ GCP: Vertex AI, BigQuery ▸ AWS: RDS, Redshift, DMS, Glue BI & Analytics: Tableau, Looker, Power BI, Qlik Engineering: Python, Java, Scala, .NET, Shell, Git, CI/CD, GitHub Copilot, Cursor Platforms: MDM (Profisee, Riversand), ERP/CRM (SAP, Salesforce, Dynamics) ⏤ 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 ⏤ Financial Services Healthcare & Insurance Manufacturing & Supply Chain Retail & Consumer Telecommunications Energy & Oil/Gas Federal Government Technology & SaaS ⏤ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 ⏤ Chief AI Officer: UChicago Booth ('25) Deep Learning: MIT ('24) AI-Driven Computational Design: MIT ('24) Full Stack MERN: MIT ('22) Industry 4.0: MIT ('21) Cybersecurity: UMich ('21) MS Data Science & Analytics: Michigan State ('13) BS Informatics: Indiana University ('06) Databricks Certified Trainer & Professional Data Scientist: Databricks Microsoft Certified Trainer: Microsoft Google Data Engineering Course Author: Google Oracle Cloud Architect & Big Data Black Belt: Oracle

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

Data Engineering. - Microsoft Azure , Copilot Studio, Foundry, M365 Agents SDK = ETL/ELT AI Engineering = Machine Learning, PySpark = API access to LLM / Self Hosted LLM - Microsoft Azure Foundry HIPAA Compliance: = Audit to determine PHI locations = Minimizing records with PHI = Audit Gaps in data security = Safeguard implementation = Procedures for Data breaches = Security Audit, Cybersecurity Microsoft Azure and Python Azure Data Warehouse Azure Data Factory Azure functions - Python Azure Data Bricks AWS and Python AWS Elastic Map Reduce (EMR) / Apache Spark, Hadoop (EMR) Serverless python functions : Lambda, Serverless ETL: Glue, Serverless SQL Query Service : Athena, Simple Queue Service / Simple Notification Service (SQS/SNS) Streaming Data : Kinesis Elastic MapReduce EC2 (ubuntu , Windows), Relational Database Service RDS ( Mysql, PostgreSQL) Core Technologies Python3, Pandas, PySpark, PyQt, PyTorch SQL MSSQL, Mysql , PostgreSQL, PrestoDB Django, Flask Git, Docker Extract Transform Load (ETL) ETL / ELT Tools : Talend, dbt, Airbyte, AWS Glue, Fivetrans Front End: Flutter ( with Flutterflow and Dart custom code) Data Visualization : Orange, Chartjs PowerBi, Metabase Data Integrations: Python : Python e-commerce API : Amazon Marketplace MWS API, Amazon seller central API, UPS, USPS, FEDEX API Integrations Python e-commerce : etsy API, ebay API, Shopify API, Aliexpress API, Flipkart API Python : Google Cloud Platform, Google HealthCare API Salesforce : Data Migration & Data Integration Salesforce Apex , Batch Apex, Scheduled Apex & Lightning Web Component Development Salesforce Certifications Held : Salesforce certified Administrator, Salesforce certified Developer , Zoho Creator Zoho API Integrations Domain Expertise: Health Tech Saas : HIPAA, HL7 EMR, EHR, APIs . LegalTech: AI assisted Case Research. Case Document Retrieval, Case Summarization, Case Citation Paralegal