Data Pipeline Services

At Gohil Infotech, we managed ETL service for automating data movement between AWS services and on-premises sources on a schedule. A cloud-based ETL and data integration service that connects, prepares, and transforms data at scale across hybrid environments. A fully managed stream and batch data processing service based on Apache Beam, ideal for real-time analytics and transformations.

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Data Pipeline Service At Your Fingertips

With the help of the top 1% of software engineering talent in India, A fully managed ETL service by AWS to prepare, transform, and load data for analytics and machine learning. A cloud-based data integration service for creating ETL and ELT pipelines that connect on-prem and cloud data sources.

ETL/ELT Pipeline Development

We build scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines to move and process data between sources and targets. We use modern tools like Talend, Apache NiFi, Azure Data Factory, and DBT to ensure efficient data handling.

Real-Time Data Streaming

Enable instant analytics and event-driven applications with real-time streaming pipelines. We implement platforms like Apache Kafka, AWS Kinesis, and Apache Flink to capture and process data with low latency.

Batch Data Processing

For systems that don’t require real-time insights, we design reliable batch pipelines that process large volumes of data at scheduled intervals. Ideal for nightly data refreshes, reporting, and bulk transformations.

Data Orchestration & Workflow Automation

We manage complex, multi-step data workflows using orchestration tools like Apache Airflow, Luigi, or Prefect. These allow for error handling, dependency management, and monitoring across pipeline stages.

Data Integration & Source Connectivity

Seamlessly connect data from various platforms—databases (MySQL, Oracle), APIs, cloud apps (Salesforce, HubSpot), and flat files—to central systems like data lakes or warehouses.

Monitoring, Logging & Error Handling

Maintain data pipeline health with robust logging, failure alerts, retry mechanisms, and observability dashboards using tools like Prometheus, Grafana, or built-in cloud services.

Cloud & Hybrid Deployments

Design and deploy pipelines across cloud platforms (AWS Glue, Azure Synapse, GCP Dataflow) and on-premises systems. We support hybrid environments to ensure seamless data movement regardless of infrastructure.

Data Transformation & Enrichment

Cleanse, enrich, and standardize raw data to make it usable for analytics, AI models, and business reporting. This includes deduplication, filtering, aggregation, and custom logic.

Security & Compliance

Secure your data pipelines with encryption, role-based access control, data masking, and audit trails to ensure compliance with GDPR, HIPAA, and other data protection laws.

Scalability & Performance Optimization

Design pipelines that scale with your data needs—ensuring fast processing, high throughput, and cost-effective cloud usage as your business grows.