Modern Data Engineering & Analytics Solutions for Real-Time Business Intelligence
NeoITO enables growing businesses and enterprises to unlock the full value of their data. As official partners of Snowflake and Databricks, we build end-to-end pipelines, real-time dashboards, and AI-ready infrastructure tailored for performance and scale. From clean ELT workflows to cross-platform attribution and self-serve analytics, our solutions are designed to be scalable, compliant, and built for intelligent decision-making.
Why Enterprises Should Choose NeoITO for Data Engineering & Analytics
Official partnerships with AWS, Snowflake, and Databricks
200+ data projects completed across SaaS, healthcare, adtech, logistics
Mastery in modern ETL/ELT, orchestration, and AI/ML feature stores
Delivered 30% cost reduction through modular, serverless architecture
Enabled real-time forecasting, attribution, and cross-channel analytics
Expertise in GDPR, HIPAA, SOC2-compliant systems
Our Core Capabilities
- Data Engineering
- Data Analytics
Modular ETL/ELT pipelines (Snowflake, Databricks, Fivetran, Airbyte)
Real-time streaming (Kafka, Kinesis, Flink)
Scalable lake/warehouse architectures (Delta Lake, BigQuery, Redshift)
Workflow orchestration (Airflow, Prefect, Dagster)
Data validation and schema testing (Great Expectations, dbt tests)
KPI dashboards (Power BI, Tableau, Domo, Metabase)
Predictive modeling and churn forecasting
Self-serve analytics for business teams
Executive reporting with drill-down logic
ML-ready feature stores for AI products
Modular ETL/ELT pipelines (Snowflake, Databricks, Fivetran, Airbyte)
Real-time streaming (Kafka, Kinesis, Flink)
Scalable lake/warehouse architectures (Delta Lake, BigQuery, Redshift)
Workflow orchestration (Airflow, Prefect, Dagster)
Data validation and schema testing (Great Expectations, dbt tests)
KPI dashboards (Power BI, Tableau, Domo, Metabase)
Predictive modeling and churn forecasting
Self-serve analytics for business teams
Executive reporting with drill-down logic
ML-ready feature stores for AI products
Technologies
Case Studies
→ Voice AI + RAG-enabled data capture from users
→ Scalable ELT workflows using Fivetran, dbt, and Snowflake
→ Reduced data ops effort by 50%, ensured IRS-format compliance
→ Resolved fragmented event data across iOS, Android, and Web
→ Built session-stitching logic to unify user journeys
→ Enabled predictive dashboards for growth and retention teams
→ Serverless AWS architecture: Lambda + Kinesis + Redshift
→ Real-time KPI tracking for SMB clients via Domo
→ Delivered 40% faster processing with self-serve BI
→ Unified geo-targeted campaign data across mobile, CTV & social
→ Snowflake + dbt-based data warehouse
→ Enabled near real-time performance insights with privacy compliance
→ Voice AI + RAG-enabled data capture from users
→ Scalable ELT workflows using Fivetran, dbt, and Snowflake
→ Reduced data ops effort by 50%, ensured IRS-format compliance
→ Resolved fragmented event data across iOS, Android, and Web
→ Built session-stitching logic to unify user journeys
→ Enabled predictive dashboards for growth and retention teams
→ Serverless AWS architecture: Lambda + Kinesis + Redshift
→ Real-time KPI tracking for SMB clients via Domo
→ Delivered 40% faster processing with self-serve BI
→ Unified geo-targeted campaign data across mobile, CTV & social
→ Snowflake + dbt-based data warehouse
→ Enabled near real-time performance insights with privacy compliance
→ Voice AI + RAG-enabled data capture from users
→ Scalable ELT workflows using Fivetran, dbt, and Snowflake
→ Reduced data ops effort by 50%, ensured IRS-format compliance
→ Resolved fragmented event data across iOS, Android, and Web
→ Built session-stitching logic to unify user journeys
→ Enabled predictive dashboards for growth and retention teams
→ Serverless AWS architecture: Lambda + Kinesis + Redshift
→ Real-time KPI tracking for SMB clients via Domo
→ Delivered 40% faster processing with self-serve BI
→ Unified geo-targeted campaign data across mobile, CTV & social
→ Snowflake + dbt-based data warehouse
→ Enabled near real-time performance insights with privacy compliance
→ Voice AI + RAG-enabled data capture from users
→ Scalable ELT workflows using Fivetran, dbt, and Snowflake
→ Reduced data ops effort by 50%, ensured IRS-format compliance
→ Resolved fragmented event data across iOS, Android, and Web
→ Built session-stitching logic to unify user journeys
→ Enabled predictive dashboards for growth and retention teams
→ Serverless AWS architecture: Lambda + Kinesis + Redshift
→ Real-time KPI tracking for SMB clients via Domo
→ Delivered 40% faster processing with self-serve BI
→ Unified geo-targeted campaign data across mobile, CTV & social
→ Snowflake + dbt-based data warehouse
→ Enabled near real-time performance insights with privacy compliance
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Our Comprehensive Process
Audit of current data sources, gaps, and user needs, Define KPIs, data quality issues, and business goals
Select warehouse (Snowflake, BigQuery, Redshift),Define real-time vs batch layers, orchestration logic, and schema
ETL/ELT builds via DBT, Airbyte, or Fivetran, Stream ingestion if needed (Kafka/Kinesis), Feature store creation for ML readiness
Automate data tests and pipeline health alerts, Cost-performance balancing, Continuous refinement with usage data
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