Data Collection & Ingestion
Ingest from hybrid data sources including databases, APIs, IoT streams, and SaaS platforms. Build AI-ready balanced datasets through web scraping and synthetic generation.
Build scalable, secure, and highly-available data pipelines. Migrate legacy systems with zero data loss and full auditability.
Ingest from hybrid data sources including databases, APIs, IoT streams, and SaaS platforms. Build AI-ready balanced datasets through web scraping and synthetic generation.
Design fault-tolerant ETL/ELT pipelines using Apache Spark, Kafka, Airflow, and dbt. Centralize data in a governed data lake or warehouse.
Migrate from legacy on-premises systems to modern cloud data platforms with zero-downtime strategy, rollback capabilities, and full audit trails.
Expert annotation for text, image, video, and audio. Quality checks, inter-annotator agreement metrics, and active learning loops for accurate training datasets.
Role-based access control, data lineage tracking, PII masking, and compliance frameworks including GDPR and HIPAA.
Deploy Databricks Lakehouse, Snowflake, BigQuery, or Redshift with Delta Lake or Apache Iceberg for reliable ACID transactions.