Hire the Best Talend Data Integration Specialists in Toronto, ON

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Muhammad Talha H.

Toronto, Canada

$50/hr
4.4
13 jobs

I build, modernize, and troubleshoot production ETL/ELT pipelines, Apache Airflow DAGs, and Snowflake/PostgreSQL data platforms. I help teams eliminate unreliable workflows, slow SQL, and fragile migrations. With 10+ years of data engineering experience, I lead business-critical initiatives across architecture, hands-on delivery, governance, troubleshooting, hiring, and mentoring. ๐Ÿ“ˆ RESULTS & EXPERIENCE โ€ข Architected enterprise client migrations from on-premises data platforms to Snowflake, covering secure ingestion, transformation, validation, orchestration, governance, and production cutover โ€ข Improved SQL execution time through query and database optimization โ€ข Reduced ETL processing workload through pipeline redesign and reusable patterns โ€ข Modernized legacy Talend workflows into configurable Python-based ETL pipelines โ€ข Delivered cross-database migrations, synchronization, schema versioning, retention, and archival automation โ€ข Built monitoring, anomaly detection, retry and recovery patterns, plus API-driven Webex alerting for production pipelines โ€ข Prepared validated datasets and engineered features for downstream enterprise AI workflows โ€ข Delivered analytics-ready models and dashboards using Power BI and Apache Superset ๐Ÿงฐ PLATFORMS & DATABASES โ€ข Languages: Python, SQL, R โ€ข Orchestration and processing: Apache Airflow, Spark/PySpark, Talend, SSIS โ€ข Data platforms and databases: Snowflake, PostgreSQL, Greenplum/Cloudberry, MySQL, Microsoft SQL Server, Teradata, and Palantir โ€ข Analytics and BI: Power BI, Apache Superset, Tableau โ€ข Engineering practices: Git-based database change management, data quality, monitoring, alerting, high availability, and operational automation ๐ŸŽฏ HOW I CAN HELP โ€ข Design or review your data-platform and database architecture โ€ข Build or modernize end-to-end Python and SQL ETL/ELT pipelines โ€ข Migrate on-premises data platforms and workloads to Snowflake โ€ข Migrate legacy Talend workflows to maintainable Python solutions โ€ข Develop and troubleshoot production Apache Airflow DAGs โ€ข Plan and execute database and warehouse migrations โ€ข Optimize slow SQL, transformations, storage, and pipeline workloads โ€ข Implement monitoring, API alerts, validation, retries, recovery, and high-availability patterns โ€ข Build reliable feature-engineering and analytics datasets โ€ข Model data and deliver decision-ready BI dashboards ๐Ÿค WHAT YOU CAN EXPECT โ€ข Senior, hands-on ownershipโ€”not just high-level advice โ€ข Clear communication about tradeoffs, risks, and next steps โ€ข Maintainable solutions with testing, monitoring, documentation, and reliability built in โ€ข Practical architecture sized for your current needs and future growth I am SnowPro Core certified and currently pursuing an M.S. in Analytics at Georgia Tech. Send me your current stack, the problem youโ€™re facing, and the outcome you need. Iโ€™ll help you identify the fastest practical path to a reliable production solution.

  • Talend Data Integration
  • Data Integration
  • Data Engineering
  • Snowflake
  • Apache Airflow
  • Python
  • SQL
  • ETL Pipeline
  • PostgreSQL
  • Data Warehousing
  • Data Migration
  • Apache Spark
  • Database Architecture
  • Data Modeling
  • Query Optimization
  • Microsoft SQL Server
  • MySQL
  • Greenplum
  • Teradata
  • Solution Architecture
Halyna M.

Toronto, Canada

$50/hr
5.0
2 jobs

Results-driven data engineer with nearly 12+ years of experience in designing and implementing new systems, optimizing legacy solutions, and migrating enterprise solutions to the cloud. I have a proven track record of delivering tailored data-driven solutions for US-based clients, leveraging my expertise in programming and data engineering. I excel at tackling complex challenges, continuously learning modern technologies, and contributing effectively to collaborative teams. Key Skills: Data Lifecycle Management Data Integration and Ingestion Data Pipeline Development Data Automation Optimization Data Quality ETL (Extract, Transform, Load) and ELT Database DWH(Data Warehouses) ETL Orchestration Proficient in SQL Snowflake, AWS Redshift, IBM Netezza, PostgreSQL, Azure DB, MS SQL Server DBT, Fivetran, IBM Informatica, SSIS, ADF Airflow for Data Workflow Orchestration ThoughSpot PowerShell Python Git and Version Control Jira and Confluence etc. These skills and extensive experience make me a valuable asset in any data engineering project. I am committed to delivering high-quality solutions and staying at the forefront of data engineering advancements.

  • Data Integration
  • SQL
  • Python
  • Apache Airflow
  • Database
  • Data Warehousing & ETL Software
  • Data Engineering
  • Data Ingestion
  • Data Transformation
  • ETL Pipeline
  • Snowflake
  • Amazon Redshift
  • Informatica
  • dbt
  • ETL
Michael N.

Toronto, Canada

$95/hr
4.8
36 jobs

โ˜‘๏ธ 14+ Years Professional Experience โ˜‘๏ธ US Client Specialty โ˜‘๏ธ <10 Minute Client Message Response Times โ˜‘๏ธ Outstanding Pro-Active Communication โ˜‘๏ธ 4,600+ Hours Delivered, Maintaining a 100% Job Success Score โ˜‘๏ธ Extensive Experience In: Software - SaaS - eCommerce - Finance โ˜‘๏ธ Worked with Netskope & RSAC โ˜‘๏ธ On Time Every Time โ˜‘๏ธ Long-Term Partnership Mindset ๐Ÿ“ž ๐—œ๐—ป๐˜ƒ๐—ถ๐˜๐—ฒ ๐—บ๐—ฒ ๐˜๐—ผ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฝ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐—ผ๐—ป ๐—จ๐—ฝ๐˜„๐—ผ๐—ฟ๐—ธ ๐—ผ๐—ฟ ๐˜€๐—ฒ๐—ป๐—ฑ ๐—บ๐—ฒ ๐—ฎ ๐—ฑ๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜ ๐—บ๐—ฒ๐˜€๐˜€๐—ฎ๐—ด๐—ฒ ๐˜๐—ผ ๐—ฏ๐—ผ๐—ผ๐—ธ ๐—ฎ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ถ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐—ฟ๐˜† ๐—ฐ๐—ผ๐—ป๐˜€๐˜‚๐—น๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฐ๐—ฎ๐—น๐—น ๐˜๐—ผ๐—ด๐—ฒ๐˜๐—ต๐—ฒ๐—ฟ. โ Michael and the DSC team is absolute gold! I cannot speak highly enough of their data insights and software development capabilities, which based on my experience, are second to none! I have served as a product strategy and development leader for a number of major brands, including Starbucks, Microsoft, Wells Fargo and more. Furthermore, I have worked with many talented Power BI, data analytics and software development colleagues, consultants and third party providers. I have never found a more capable team to deliver best-in-class solutions for any data related initiative - simple or complex. โž ๐Ÿ—ฃ Bryan Guy - CEO - Databillity โ€” Hi! Iโ€™m Michael. I specialize in supporting US-based clients with exceptional data engineering, data architecture and advanced analytics solutions. Iโ€™m the leader of a team of 10 hand-picked Canadian data scientists and data engineers. When you work with me, you work with an industry-leading team of native-English experts. Together, we create outcomes impossible to do individually. The main outcomes I consistently create with my clients are enabling them to make higher-quality business decisions with reliable data, all while reducing manual work and leveraging automation for their entire team. I offer end-to-end solutions. I take responsibility for every step of your data journey. This includes building automated data pipelines that pull information directly from systems like your CRM, ERP, and financial platforms. Your data can then be centralized in a cloud-based data warehouse, creating a single reliable source of data serving as a stable foundation for analysis and reporting. From there, we can work together to determine what matters for your business to track with earnestly helpful reporting dashboards. Your KPIโ€™s and the data you need to make meaningful decisions are communicated clearly in accessible reporting that you and your team will actually use. โ€” One example of a recent successful data engineering project was: Data ingestion and analytics with an American IT security company. Ingesting data from Salesforce (Opps, Leads, Contacts, Campaigns etc.) into Snowflake using Fivetran. Building a metadata layer in Looker using LookML code, and creating dashboards to track key metrics such as ARR and MRR. Overseeing the rollout of dbt, a data transformation platform, used as an intermediary data transformation step between Snowflake and Looker. โ€” Data sources I often work with include: ๐Ÿ”ท CRM & Sales Systems - Salesforce - HubSpot - Proprietary CRM Systems ๐Ÿ”ท Marketing & Analytics Platforms - Google Analytics - Google Tag Manager - Facebook Ads - Marketing Attribution Platforms ๐Ÿ”ท Financial & Payment Systems - Stripe - QuickBooks - ERP Systems - Financial Reporting Tools ๐Ÿ”ท Product & Application Data - Web Apps - Internal Databases - Event Tracking Systems - Custom Application Data ๐Ÿ”ท Cloud & Data Infrastructure - Google BigQuery - Snowflake - Azure-Hosted Data Environments ๐Ÿ”ท Custom & API Integrations - REST APIs - Webhook-Based Systems - Custom Data Pipelines From Internal Tools โ€” Data architect and data engineering services I commonly support my clients with includes: ๐Ÿ”ธ Specialties: Snowflake - dbt - Microsoft Power BI - Tableau - Looker Studio ๐Ÿ”ธ Data Modeling - Data Architecture - Data Engineering ๐Ÿ”ธ Reporting - Custom Dashboards - Data Visualization ๐Ÿ”ธ Data Warehouse Projects - Data Migrations - Data Transformation - Data Ingestion ๐Ÿ”ธ Business Intelligence Projects ๐Ÿ”ธ Microsoft Azure - Azure Hosted Data - Azure Hosted Analytics ๐Ÿ”ธ Data Engineering Projects ๐Ÿ”ธ Automated Testing ๐Ÿ”ธ Fivetran - Data Integration Platform Projects ๐Ÿ”ธ Airbyte Data Monitoring Tool - Custom Connections Built With: QuickBooks - Microsoft Dynamics - Leadspedia - Everflow - Proprietary CRM systems ๐Ÿ”ธ Custom Python Scripts - Custom SQL ๐Ÿ”ธ LookML - Amazon Quicksight - Holistics BI - Lightdash - Google BigQuery - Sigma Computing ๐Ÿ“ž ๐—œ๐—ป๐˜ƒ๐—ถ๐˜๐—ฒ ๐—บ๐—ฒ ๐˜๐—ผ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฝ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐—ผ๐—ป ๐—จ๐—ฝ๐˜„๐—ผ๐—ฟ๐—ธ ๐—ผ๐—ฟ ๐˜€๐—ฒ๐—ป๐—ฑ ๐—บ๐—ฒ ๐—ฎ ๐—ฑ๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜ ๐—บ๐—ฒ๐˜€๐˜€๐—ฎ๐—ด๐—ฒ ๐˜๐—ผ ๐—ฏ๐—ผ๐—ผ๐—ธ ๐—ฎ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ถ๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐—ฟ๐˜† ๐—ฐ๐—ผ๐—ป๐˜€๐˜‚๐—น๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฐ๐—ฎ๐—น๐—น ๐˜๐—ผ๐—ด๐—ฒ๐˜๐—ต๐—ฒ๐—ฟ. Thank you for learning about how I can support you with your data architect and data engineering project. Michael Nandlall

  • Data Integration
  • Data Visualization
  • Data Analysis
  • Database Architecture
  • Database Design
  • Data Warehousing
  • ETL Pipeline
  • Data Engineering
  • Data Migration
  • Dashboard
  • Snowflake
  • Tableau
  • Looker
  • dbt
  • Microsoft Power BI
  • Data Science
  • Microsoft Excel
  • SQL
  • Python
  • Big Data

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