Hire the Best Talend Open Studio Specialists

Data Integration specialist with over 19 years of experience in designing, building, maintaining and supporting Data warehouse and ETL applications. Extensive experience working on Snowflake, dbt, Datastage , Informatica, AWS, Unix/ Python Scripting. Experienced with relational databases - Snowflake, Netezza, DB2, Oracle and SQL server. Proficient in writing SQL queries to perform analysis and ELT loads into tables. Experience working on Bigdata tools – HDFS, Hive, Sqoop & Kafka. Exposure to Cloud technologies – ASW and Azure as data sources. Experienced working with diverse clients belonging to - Banking, Manufacturing, Restaurant and Retail domain. Good understanding of end-end architecture of Datawarehouse and applications worked on. Experienced in working on Agile (Scrum) & waterfall methodologies of project execution. Highly motivated, strong analytical skills, quick learner and interested to learn and work on new technologies.

🏆 𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 - among the top 3% talent on Upwork 🏆 ⭐️ 𝟒𝟖+ happy clients ⭐️ 𝟑𝟎𝟎𝟎+ hours clocked With over 7 years of experience, I offer an unparalleled blend of expertise in data engineering and full stack development. My comprehensive skill set enables me to deliver robust technical solutions that drive business growth and operational efficiency. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 Big Data Solutions: Proven proficiency in Cloudera Hadoop, Denodo, Spark, Impala, Hive, Flink, Airflow, Kafka, and Nifi. I design and implement scalable big data solutions to manage and analyze large datasets effectively. ETL Implementation: Extensive experience with Informatica Cloud (IICS), Informatica BDM, SSIS, Talend, and Fivetran, facilitating seamless data extraction, transformation, and loading processes. Cloud Technologies: Advanced knowledge of cloud platforms including AWS (Redshift, Glue, Data Pipeline, S3, EMR), Microsoft Azure (Data Factory, Synapse Analytics, Databricks), and Google Cloud Platform (Big Query, Dataproc). I architect and implement cloud-based data solutions to enhance data accessibility and scalability. Data Warehousing and Analytics: Expertise in Data Modeling, Reporting (SSRS), Data Analysis (Pandas), Data Cleaning, Visualization, and Pre-Processing. Proficient with BI tools such as Power BI, Tableau, and Google Data Studio to convert data into actionable insights. Computer Vision: Specialized skills in Convolutional Neural Networks for advanced computer vision tasks including pose recognition, multi-object detection, and human tracking. Generative AI / LLMs / NLP: Expertise in smart chatbots development, LLM Finetuning & Optimization, custom AI agents development, automation solutions for internal workflows & SaaS applications and large scale AI Infrastructure Development. Mobile & Web Applications: Delivered over 30 mobile and web applications utilizing native and cross-platform technologies, including React Native and the MERN stack. My work includes developing custom solutions tailored to specific business needs. Frontend Technologies: Expertise in JavaScript, React Native, React JS, Next JS, HTML, CSS, Material UI, and Tailwind CSS. I focus on creating intuitive and responsive user interfaces that enhance user experience. Backend Technologies: Proficient in Node JS, Nest JS, Express, AWS, MongoDB, Firebase, and MySQL. I develop robust backend systems to support scalable and secure applications. API & Microservices: Skilled in designing and implementing token-based RestFul API servers and microservices architectures to ensure seamless integration and scalability. Project Delivery: A track record of delivering projects on time with 100% client satisfaction. I adhere to strict deadlines to ensure timely project completion without compromising quality. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿 Custom Development: Tailored mobile and web application development with a focus on cross-platform solutions and user-centric design. Data Solutions: Comprehensive data engineering services including ETL processes, cloud data architecture, and advanced analytics to optimize data usage and drive business decisions. Integration & Support: Backend development, database integration, third-party API integration, quality assurance, and post-launch support to ensure seamless operation and performance. 𝗡𝗼𝘁𝗮𝗯𝗹𝗲 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 & 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 I have had the privilege of working with esteemed clients such as OnePlan, GoPlay, ActiveMentor AI, and Tribe Me, delivering solutions across diverse sectors including fitness, real estate, e-commerce, and fintech. 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 To discuss how my expertise can contribute to your business objectives, please connect with me for a complimentary 30-minute consultation. 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: Full Stack Development | Full Stack Web Development | Full Stack Mobile Development | Application Development | Front-end Development | Back-end Development | SaaS Development | Android App developement | iOS Development | AI Chatbot Development | CMS Development | AI Integration | Crypto Wallet Development | Desktop Software Development | Ecommerce Website Development | Shopify | Shopify Apps | Mobile App Development | Mobile Game Development | Scripting & Automation | Mobile Design | UX/UI Design | Web Design | Smartphone | Database Development | JavaScript (JS) | TypeScript | React (React.js, ReactJS) | React Native (ReactNative) | Node.js (Node, NodeJS) | Next JS (Next.js) | Nest JS | Python | Scala | Pyspark | Django | Flask | Laravel | Vue.js | Swift | Kotlin | PHP | Flutter | Azure DevOps | Azure App service | Deployment Automation | Amazon Web Services (AWS) | Amazon EC2 | Firebase | MongoDB | MySQL | PostgreSQL | API Integration | OpenAI API | Generative AI Modeling | Machine Learning | Data Analytics | Data Visualization | A/B Testing | Data Extraction | Data Processing

I am a Senior Data Engineer & Data Analyst with over 7 years of hands-on experience across SQL Databases, Data Engineering, ETL Pipelines, Cloud environments, Data Analytics and Data Warehousing. I deliver end-to-end data solutions, seamlessly bridging the gap between backend ETL Pipelines and frontend business insights to help companies make faster, better decisions. WHAT CAN I DO FOR YOU: • Build ETL and ELT pipelines to centralize fragmented business data. • Design data warehouses and dimensional models (star and snowflake). • Optimize complex SQL queries and improve database performance using standard data optimization techniques. • Develop interactive, automated dashboards and reporting suites for business stakeholders using Power BI, MicroStrategy, Superset, and Qlik. • Implement cloud data solutions using the Microsoft Azure ecosystem (Data Factory, Synapse, Fabric, Data Lake). • Clean, structure, format, and prepare massive, messy datasets for deep data analytics. TECHNICAL STACK: • Cloud & Warehouses: Azure (Data Factory, Synapse, Fabric, Azure SQL, ADLS), Snowflake, Teradata. • ETL Tools: Azure Data Factory, Talend Open Studio, Pentaho, Informatica, dbt, Apache NiFi. • BI & Analytics: Power BI, MicroStrategy, Apache Superset, Qlik, Looker Studio, Power Query. • Databases: PostgreSQL, MySQL, SQL Server, Oracle, Teradata, MongoDB, Cassandra. • Languages: SQL (T-SQL, PL/SQL), Python (Pandas, NumPy), PySpark. • Modeling: Data Modeling (ERD, Star Schema, Snowflake Schema). WHY CLIENTS HIRE ME: • 30+ successful data projects completed across engineering and analytics domains. • Strict focus on performance, long-term scalability, and clean, debt-free data architecture. • Clear, transparent communication and reliable, on-time delivery. • True end-to-end data expertise, tracking your data lifecycle from raw pipeline to final insight. If you need a reliable specialist who can streamline your data pipelines and turn raw tables into clear business insights, let’s talk. Click the "Invite to Job" or "Message" button to discuss your project goals.

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

I build data platforms that work at scale and keep working as your business grows. Over the past 10 years I've served as the lead or founding data engineer across fintech, e-commerce, ride-hail, legal tech, and cybersecurity companies. That means I've designed systems from scratch, made architecture decisions with no one to fall back on, and delivered platforms that product teams actually use. Here's what I typically get hired to do: → Build greenfield data platforms on AWS or GCP from the ground up → Design and ship production ETL/ELT pipelines (Airflow, Dagster, dbt) → Set up scalable warehouses and governance (Snowflake, BigQuery, Redshift) → Implement real-time streaming pipelines (Kafka, Spark Streaming, CDC) → Build AI-powered data applications (RAG, LLMs, LangChain, vector DBs) → Fix broken or unreliable pipelines and make them production-grade → Architect cloud infrastructure on AWS, GCP, Azure (Terraform, Kubernetes) Recent work includes: - Led data platform engineering for a US e-commerce company processing billions of events daily. I re-architected ingestion pipelines, built Snowflake governance from scratch, introduced Prometheus monitoring and CI/CD standards across the platform. - Built a full data platform on GCP (BigQuery, Dataproc, Airflow) for a music streaming company. Firebase, AppsFlyer, and app store data all flowing into one warehouse within weeks. - Designed an AWS data platform for a ride-hail company managing 500+ streaming and 700+ batch jobs — including a self-serve portal that replaced multi-step CLI workflows for engineers. - Built a legal AI search engine using LangChain, Pinecone, and RAG — full pipeline from document ingestion to LLM-generated answers, deployed on AWS with auto-scaling. - Built an AI inventory insights agent for a US automotive company — multi-source data pipelines, real-time APIs, conversational interface. I work in English daily, communicate proactively, and deliver production- ready code — not prototypes. I'm used to working directly with CTOs and technical leads in US and European time zones. Tools I work with regularly: Python · SQL · Airflow · Dagster · dbt · Snowflake · BigQuery · Spark · Meltano · Kafka · AWS (S3, EMR, Glue, ECS, Lambda, EC2, EKS) · Databricks · GCP · Azure Terraform · Docker · Kubernetes · LangChain · FastAPI · MLflow · Weaviate, Celery If you're building a data platform, fixing one, or adding AI/ML capabilities to your stack, let's talk.

I am a Senior Data Engineer with over 5 years of experience in designing and delivering scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions for enterprise clients across the USA and APAC. My expertise includes Python, PySpark, Databricks, Snowflake, and Azure Data Factory, helping organizations transform complex data into analytics-ready assets that power data analytics, reporting, and machine learning solutions. I have successfully led projects across Oil & Gas, Healthcare, Retail, and Construction domains—migrating legacy systems, integrating third-party APIs, and modernizing cloud data architectures on AWS and Azure platforms. Key Expertise: * Data Engineering and Pipelines: Building end-to-end data pipelines using Databricks, Azure Data Factory, and Talend. * ETL/ELT Development: Automating and optimizing large-scale data workflows for performance and reliability. * Data Analytics and Machine Learning: Delivering structured and high-quality datasets for advanced analytics and ML pipelines. * Cloud and Big Data: Experience with AWS (EC2, SQS, MWS) and Azure (ADF, Databricks, Snowflake). * API Integrations: Connecting with platforms like Shopify, Amazon MWS, Xero, and SkuVault, and standardizing JSON, XML, and CSV data. * Data Governance: Implementing audit logs, error handling, and quality checks to ensure data accuracy and transparency. * Collaboration and Delivery: Skilled in Agile methodology, sprint planning, and direct client communication. I focus on delivering clean, well-documented, and optimized data solutions that improve performance, enable better decision-making, and support analytics and machine learning initiatives. Let’s collaborate to modernize your data systems or build scalable data workflows tailored to your business needs.