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DataOps Support & Data Pipeline Services

Expert data engineers providing 24/7 support for data pipelines, ETL/ELT workflows, real-time streaming, data quality, and modern data stack tooling.

Talk to a Data Engineer

Support Details

Availability
24 / 7 / 365
P1 Response
Under 1 hour
Delivery
Remote (Slack, Zoom, Email)
Coverage
Worldwide — India & USA
Engineers
Certified Data Engineers
Language
English
Request Support
4.8/5
Customer Rating
24/7
Support Coverage
300+
Pipelines Supported
15+
Data Stack Tools

DataOps Support — What We Do

devopssupport.in provides dedicated DataOps support for data engineering teams and organizations running modern data stacks. We help you build, stabilize, and operate data pipelines that are reliable, observable, and scalable — from batch ETL workflows to real-time streaming architectures.

Our data engineers work with the full modern data stack — orchestration tools like Apache Airflow and Prefect, transformation frameworks like dbt, streaming platforms like Apache Kafka, and cloud data warehouses like Snowflake and BigQuery.

Pipeline Orchestration

Apache Airflow (DAG support)
Prefect & Dagster
dbt (data build tool)
dbt Cloud & dbt Core

Data Ingestion & Streaming

Apache Kafka & Kafka Connect
Apache Flink & Spark Streaming
Fivetran & Airbyte (ELT)
AWS Glue & Azure Data Factory

Data Warehouses & Lakes

Snowflake
Google BigQuery
Databricks & Delta Lake
Amazon Redshift

Data Quality & Observability

Great Expectations
Monte Carlo & Soda
dbt tests & schema checks
OpenLineage & Marquez

Who We Support

  • Data engineering teams building and maintaining batch and streaming pipelines that need on-call operational support.
  • Analytics engineering teams working with dbt models who need performance tuning, testing strategies, and deployment support.
  • Data platform teams managing Snowflake or Databricks environments at scale — warehousing costs, access control, and reliability.
  • Startups setting up their first modern data stack who need architecture guidance and initial pipeline build-out support.

What's Included in Our DataOps Support

  • Pipeline Incident Response: Triage failed DAGs, broken dbt runs, Kafka consumer lag issues, and warehouse query failures in production.
  • Airflow Operations: DAG debugging, scheduler tuning, Celery/Kubernetes executor configuration, and upgrade support.
  • dbt Support: Model refactoring, incremental strategy optimization, test coverage review, and CI/CD pipeline setup for dbt projects.
  • Data Quality Management: Designing and implementing data quality checks, anomaly detection rules, and SLA monitoring for critical datasets.
  • Streaming Architecture: Kafka topic design, consumer group management, Kafka Connect connector troubleshooting, and throughput optimization.
  • Warehouse Optimization: Query performance tuning, clustering/partitioning strategies, and cost control in Snowflake, BigQuery, and Redshift.
  • Data Lineage & Governance: Implementing metadata tracking, column-level lineage, and data catalog integration with tools like OpenMetadata or DataHub.

Modern Data Stack Architecture

We help teams design and implement the right data architecture for their scale:

  • ELT architecture with Fivetran/Airbyte → Snowflake/BigQuery → dbt → BI tool.
  • Lambda architecture combining batch (Spark) and real-time (Kafka + Flink) processing.
  • Data lakehouse patterns using Delta Lake or Apache Iceberg on cloud object storage.
  • Medallion architecture (Bronze/Silver/Gold layers) in Databricks or Azure Synapse.
  • Reverse ETL workflows to sync warehouse data back to operational systems using Census or Hightouch.

How to Get DataOps Support

  • Email contact@devopssupport.in describing your data stack and the issue you're facing.
  • Call or WhatsApp: +91 7004 215 841 (India) or +1 (469) 756-6329 (USA).
  • Use the contact form to book a scoping call — we'll review your pipeline architecture and propose a support engagement.