Modern data platforms. Scalable pipelines. AI-ready architecture.
Cloud-native, event-driven ELT/ETL frameworks on AWS, Azure, and GCP.
Scalable data lakes and warehouses with Snowflake, BigQuery, Redshift.
Stream processing using Kafka, Spark, and Flink for real-time analytics.
Ensure compliance and traceability with lineage, versioning, access control using tools like Atlas, Great Expectations, DBT.
Feature stores and model pipelines integrated with SageMaker, Vertex AI, Databricks.
Proven experience across industries and geographies with SLA-aligned, compliant platforms.
Architect robust Extract-Transform-Load pipelines using tools like Apache NiFi, Talend, Azure Data Factory, or Airflow.
Deploy real-time dashboards and workflows for QA, reconciliation, and anomaly detection — powered by AI.
Build secure, scalable data platforms — as done for a leading children's charity to centralize general ledger and ops data.
Apache Spark / Dask
Large-scale distributed data processing.
Pandas / NumPy
Data manipulation and numerical computing.
BeautifulSoup / Scrapy
Web scraping for data extraction.
PostgreSQL / MySQL
Structured data storage.
MongoDB / Elasticsearch
NoSQL & real-time search capabilities.
Kafka / RabbitMQ
Streaming data pipelines.Connect with our data engineers and unlock the power of your enterprise data.
Speak with Our Experts