Hire the Best Talend Open Studio Specialists

Clients rate our Talend Open Studio Specialists
Rating is 4.8 out of 5.
4.8/5
Based on 138 client reviews
Anil Kumar M.

Hyderabad, India

$25/hr
5.0
6 jobs

I’m a Senior Data Engineer with 9+ years of experience building scalable data platforms, automated ETL/ELT pipelines, and end-to-end analytics systems for startups to enterprise clients. I help organizations turn raw, messy data into clean, reliable, and analytics-ready datasets using modern cloud data stacks. What I Can Help You With ➤ ETL/ELT Development (Python, Airflow, AWS Glue, Talend) ➤ Cloud Data Engineering (AWS, Snowflake, Redshift, S3, Lambda) ➤ Data Warehouse Architecture & Optimization ➤ API Integrations (SaaS - Databases / Warehouses) ➤ SQL Development & Performance Tuning ➤ Dashboard/Data Model Preparation (Power BI, QuickSight, Tableau) ➤ Data Migration from CRMs/ERPs (Salesforce, HubSpot, Workday, Custom APIs) ➤ Automation of repeated data processes (Python + Cloud services) Why Clients Work With Me 🔹 Clear communication and structured delivery 🔹 Clean, audit-ready pipelines with proper logging & monitoring 🔹 Fast turnaround and long-term maintainable code 🔹 Experience across Healthcare, Finance, Retail, and SaaS domains My Recent Projects: ⭐CRM/ERP to Snowflake migration with automated Python pipelines ⭐AWS Data Platform modernization using Glue, Lambda, and Redshift ⭐Finance & Claims data processing using PySpark on AWS ⭐Custom API integrations to centralize business data ⭐Dashboard backend (SQL + models) for Power BI & QuickSight If you need ✔ Faster data pipelines ✔ A scalable cloud data architecture ✔ Clean data models for BI ✔ Help with Talend/Airflow/Snowflake ✔ A partner who delivers on time, every time I can help you. Send me a message, and let’s discuss your project.

  • Talend Open Studio
  • Snowflake
  • SQL
  • Data Engineering
  • Python
  • AWS Glue
  • Amazon Redshift
  • ETL
  • Amazon Web Services
  • Apache Superset
  • Apache Airflow
  • Amazon QuickSight
  • Tableau
  • AWS Lambda
  • Streamlit
Alfonso B.

Barranquilla, Colombia

$40/hr
4.9
61 jobs

I am expert in data integration using Python, Snowflake, Talend Data Integration, database administration and processing xml files (xpath, xslt, xquery). I am master in business intelligence and specialist in process software development My experience with Talend Open Studio, SSIS, SSAS, SSRS started in 2006

  • Talend Open Studio
  • ETL
  • Microsoft SQL Server
  • MySQL
  • Data Migration
  • XSLT
  • Talend Data Integration
  • Data Warehousing
  • Python
  • Data Extraction
  • Java
  • SAP Programming
  • Data Mining
  • XML
Waqar A.

Dubai, United Arab Emirates

$29/hr
5.0
112 jobs

I'm a dynamic data expert with a proven ability to deliver short- and long-term projects in the realms of data engineering, data warehousing, and business intelligence. My passion is to partner with my clients to deliver top-notch, scalable data solutions to provide immediate and lasting value. I specialise in the following data solutions: ✔️ Data strategy advisory & technology selection/recommendation ✔️ Building data warehouses using modern cloud platforms and technologies ✔️ Creating and automating data pipelines, real-time streaming & ETL processes ✔️ Data Cleaning and Processing. ✔️ Data Migration (Heterogeneous and Homogeneous) Some of the technologies I most frequently work with are: ☁️ Cloud: GCP, AWS & Azure 👨‍💻 Databases: BigQuery, Google Cloud SQL, SQL Server, Snowflake, PostgreSQL, MySQL, S3, Google Cloud Storage, Azure Data Lake Storage. ⚙️ Data Integration/ETL: Matillion ETL for Snowflake/BigQuery, Apache Airflow( Google Cloud Composer, AWS MWAA, Astronomer), Azure Data Factory, Azure Logic Apps, Dagster and DBT. 🔑 Scripting - Python for API Integrations and Data Processing. 🤖 Serverless Solutions - Google Cloud Functions, Lambda Functions and Azure Functions. 📊 Dashboard Reporting - Microsoft Power BI, Apache Superset, Metabase, Looker Studio and Plotly. 🛠 Others - Process Automation in Python, N8N and Much More. =What my clients say about me== ------------------------------------------------------ "Waqar is very clued up, and he thinks outside the box. He is always looking for ways to implement the solution efficiently and cost-effectively. His communication skills are excellent. He is willing to go the extra mile. He has been a pleasure to work with. I will be working with him in the future." ⭐⭐⭐⭐⭐ ------------------------------------------------------ "Waqar has expert-level knowledge of Google Cloud and knows how to make cloud technologies work effectively for the marketing domain." ⭐⭐⭐⭐⭐ ------------------------------------------------------ I am highly attentive to detail, organised, efficient, and responsive. Let's get to work! 💪

  • Python
  • Apache Airflow
  • Apache Superset
  • BigQuery
  • Snowflake
  • Microsoft Power BI
  • API Integration
  • Metabase
  • Plotly
  • Data Engineering
  • ETL Pipeline
  • PostgreSQL
  • dbt
  • Terraform
  • Looker
  • Google Apps Script
  • Football
  • Data Visualization
  • Data Warehousing
  • Streamlit
Asim A.

Islamabad, Pakistan

$10/hr
4.9
48 jobs

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.

  • Data Engineering
  • Data Analysis
  • Data Analytics
  • Data Warehousing & ETL Software
  • Data Modeling
  • Data Integration
  • ETL Pipeline
  • SQL
  • Python
  • PySpark
  • Microsoft Azure
  • Microsoft Power BI
  • MicroStrategy
  • Data Visualization
  • MySQL
  • Oracle
  • PostgreSQL
  • Microsoft SQL Server
  • Microsoft Azure SQL Database
  • Business Intelligence
Shivam W.

Shahdara, India

$20/hr
5.0
7 jobs

I'm a Senior Data Engineer with 4.5+ years of experience building scalable, cloud-native data platforms that turn raw data into reliable, business-ready insights. I've delivered enterprise solutions across banking (NAB), healthcare (Molina), and CPG (PepsiCo), specializing in end-to-end pipeline architecture, data modeling, and cloud migrations. What I bring to your project: 🔹 Cloud Data Engineering – Deep expertise in Azure (Databricks, Data Factory, Synapse) and AWS (EMR, Glue, S3, RedShift), with hands-on migration experience from on-prem and Teradata to cloud. 🔹 Pipeline Architecture & ETL – I design and build robust ingestion frameworks handling batch, incremental, and real-time data (Event Hub, Kafka) across formats like JSON, CSV, Parquet, and fixed-width files. 🔹 Data Modeling & Warehousing – Skilled in dimensional modeling, Data Vault, star/snowflake schemas, and silver/gold layer design. I've modeled 50+ tables across Oracle Fusion, SAP S/4, and healthcare domains. 🔹 Transformation & Orchestration – I translate complex business rules into DBT models, orchestrate workflows with Apache Airflow or AutoSys, and automate CI/CD via Jenkins and Azure DevOps. 🔹 Performance & Governance – I tune PostgreSQL and Spark jobs, implement data quality checks, reconciliation frameworks, and ensure compliance with data governance standards. 🔹 Generative AI & MLOps – Databricks-certified in Generative AI, with experience integrating MLflow for experiment tracking and building LLM-based automation using OpenAI and LangChain. Tech Stack: Python | SQL | Scala | Apache Spark | DBT | PostgreSQL | Snowflake | Airflow | Databricks | Azure | AWS | Git | Jenkins | MLflow | Power BI Certifications: Databricks Certified Data Engineer Professional | Azure Data Engineer (DP-203) | Snowflake SnowPro Core | Fabric Analytics Engineer (DP-600) | Generative AI Engineer Associate Whether you need a production-grade pipeline, a cloud migration, or a well-modeled data warehouse, I deliver clean, documented, and scalable solutions — on time and with clear communication. Let's discuss your project!

  • Data Extraction
  • Data Mining
  • Artificial Intelligence
  • ETL Pipeline
  • Machine Learning
  • Database Design
  • Database Modeling
  • PySpark
  • Databricks Platform
  • Snowflake
  • Data Warehousing
  • Apache Airflow
  • Python
  • Web Scraping
  • Data Engineering
  • Generative AI
  • Exploratory Data Analysis
  • Scala
  • Data Integration
Vincent G.

Courbevoie, France

$65/hr
5.0
66 jobs

I am a seasoned Data Engineer with over 10 years of experience in designing and building scalable data solutions. I specialize in developing robust data pipelines across cloud platforms (AWS, GCP, Azure) and on-premise environments. Services Offered: ✅ Database Migration – Expertise in migrating databases such as BigQuery, Redshift, PostgreSQL, MySQL, and more. ✅ Data Warehouse Architecture – Designing efficient and scalable data warehouses tailored to business needs. ✅ ETL/ELT Development – Building ETL/ELT pipelines using Python Airbyte, DBT. ✅ Data Pipeline Architecture & Deployment – Implementing and automating workflows with Apache Airflow and Kubernetes. ✅ Application Containerization – Deploying and managing applications using Docker and Kubernetes. ✅ Data Visualization & Reporting – Creating interactive dashboards and reports with Looker Studio to drive business insights. Let’s discuss how I can help optimize your data infrastructure and unlock valuable insights for your business. Feel free to reach out!

  • Docker Compose
  • Scala
  • Looker Studio
  • BigQuery
  • Apache Airflow
  • Amazon Web Services
  • Kubernetes
  • Python
  • Google Dataflow
  • Terraform
  • PostgreSQL
  • DevOps
  • SQL
  • Google Cloud Platform

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Don't just take our word for it

What does a Talend Open Studio specialist do?

A Talend Open Studio specialist builds data integration workflows by designing graphical Job Designs within the Talend Studio environment. This role focuses on connecting disparate data sources through visual components rather than writing raw code from scratch. The specialist configures each component to define how data moves, transforms, and loads into target systems. They also generate technical documentation to maintain clarity for future updates and team collaboration.

  • Designs Talend Job Designs as graphical dataflow graphs by placing technical components on the workspace and connecting them to define the sequence of integration actions. The specialist sets component defaults and properties to implement specific extraction, transformation, and loading logic without relying on manual scripting for every step.
  • Develops or customizes Talend components using the Talend Component Kit to match unique data quality needs that standard library items do not address. This work involves deploying these custom elements into the Talend Open Studio repository so they function seamlessly within existing Jobs or Routes.
  • Generates and maintains HTML documentation packages directly from the Talend Open Studio for Data Integration repository to describe selected Jobs and joblets. This process ensures that property settings, component parameters, and configuration details remain accessible for audit trails and future maintenance tasks.

How to hire a Talend Open Studio specialist on Upwork

Step 1: Post a job

Define your data integration needs clearly to attract qualified specialists. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description in seconds. Describe your requirements in a few sentences, and Uma constructs a tailored post for this role. You can write a new post, update a saved draft, or reuse an existing one.

  • Specify whether the work involves building Job Designs for data extraction and transformation or setting up Routes for message mediation.
  • List required components, such as custom connectors built with Talend Component Kit or standard library elements for data quality checks.
  • Clarify if the specialist must generate HTML documentation from the repository to maintain clear technical records for your team.

Step 2: Evaluate candidates

Look for portfolios that demonstrate concrete experience with graphical dataflow graphs and component configuration. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you assess technical fit quickly.

  • Review examples of Job Designs that show complex connections between components for end-to-end data integration workflows.
  • Check for evidence of customized components that address specific data quality needs beyond default studio capabilities.
  • Verify experience with Feature Manager to install and enable Route features if your project requires message routing logic.

Step 3: Interview your top choices

Discuss specific technical approaches to confirm their expertise with Talend Studio tools. Schedule and conduct interviews within Upwork Messages, which generates an immediate transcript and summary after each session.

  • Ask how they configure component properties to define the sequence of data integration actions in a Job Design.
  • Request examples of how they have used the repository to manage reusable items across multiple projects or jobs.
  • Discuss their process for generating and updating HTML documentation to ensure long-term maintainability of your integrations.

Step 4: Agree on scope and begin work

Set clear deliverables and milestones for your data integration project. Use Upwork Messages and the contract workroom for communication and project management, plus identity verification, payment protection, hourly tracking, and project funds for security.

  • Define specific Job Designs or Routes as primary deliverables, including any required custom components.
  • Establish milestones for testing dataflow logic and validating transformation results against your source systems.
  • Require submission of generated HTML documentation packages for all completed Jobs to ensure knowledge transfer.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Talend Open Studio specialist cost?

$500-$1,500 per project is a typical range for focused Talend Open Studio specialist work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

Job design and documentation

$500-$1,200/project

Entry-level to mid-level
  • Graphical dataflow graph with connected components
  • Defined properties and connection sequences
  • Generated repository docs for selected jobs

Data integration workflow

$1,200-$2,500/project

Mid-level
  • Components configured for source data access
  • Data mapping and quality operations applied
  • Target system write operations established

Custom component development

$2,500-$4,500/project

Mid-level to senior-level
  • Custom code built with Talend Component Kit
  • Installed custom components in studio library
  • Verified component behavior within job design

Route configuration

$4,500-$7,000/project

Senior-level
  • Route feature enabled via Feature Manager
  • Graphical rules for message movement defined
  • Connections between service endpoints established

Enterprise repository setup

$7,000-$12,000/project

Expert-level
  • Shared joblets and components created for reuse
  • Organized storage for jobs and documentation
  • Standardized HTML documentation for all assets

Frequently asked questions

Is hiring a Talend Open Studio specialist worth it?

For most businesses, yes: hiring a Talend Open Studio specialist is worthwhile. This expert builds graphical dataflow graphs that move and transform data without requiring extensive custom code. They configure component properties to define precise integration actions and generate HTML documentation for your repository. You avoid the overhead of maintaining complex scripts by using standardized Jobs and Routes.

How do I evaluate Talend Open Studio specialist candidates?

Review their portfolio for Talend Job Designs that show clear logical connections between components. Ask them to explain how they configured component defaults to handle specific data quality issues during extraction or loading. A strong candidate describes building a Route to manage message routing rules if your project requires mediation. Look for evidence of generated HTML documentation that details job parameters and settings.

What deliverables does a Talend Open Studio specialist produce?

A specialist produces Talend Job Designs that implement dataflow management for integration processes. They also create custom components, define Routes for message movement, and generate HTML documentation packages for selected jobs.

Can a Talend Open Studio specialist create custom components?

Yes, they use the Talend Component Kit to build and deploy custom components into Talend Open Studio. This allows them to match specific data integration needs that standard library components do not address.