Question 1

What services does Brilliqs offer in data and AI?

Accepted Answer

Brilliqs offers a complete suite of data engineering, analytics and AI services:

**Data Infrastructure:** Data pipeline architecture and implementation, cloud data warehouse setup (Snowflake, Databricks, BigQuery, Redshift), data lake design, real-time streaming (Kafka, Kinesis) and data orchestration (Airflow, Prefect, Dagster).

**Analytics & BI:** Dashboard development in Power BI, Tableau, Looker, self-service analytics platforms and embedded analytics integration.

**AI & Machine Learning:** LLM integration and fine-tuning, ML model development and deployment, vector database setup, chatbot development and predictive analytics.

**Data Modernization:** Legacy database migration, on-premise to cloud transformation and modern data stack implementation.

**Application Development:** Data-driven web applications, full-stack custom software and cloud-native development.

Question 2

What is Brilliqs and what do you do?

Accepted Answer

Brilliqs is a specialized data engineering and AI consulting firm that helps enterprises build production-grade data platforms, analytics solutions and AI-powered applications. We are the data and AI division of Synthesys Solutions Pvt. Ltd., an ISO 27001 certified company established in 2004.

Our core services include data pipeline architecture, cloud data warehouse design, business intelligence dashboard development, data lake modernization, machine learning operations and enterprise AI integration. We work with tools like Apache Spark, Airflow, Kafka, Snowflake, Databricks, BigQuery, Power BI and OpenAI.

We serve organizations across manufacturing, healthcare, education technology, financial services and government sectors, delivering scalable, compliant and measurable data solutions.

Question 3

What engagement models do you offer?

Accepted Answer

We offer four engagement models to match different client needs:

**Project-Based:** Fixed-scope engagements with defined deliverables, timeline and budget. Ideal for specific projects like dashboard development, data migration, or platform build with clear requirements.

**Dedicated Pod:** A dedicated team of 3-8 engineers working exclusively on your projects. You get a committed team that understands your systems deeply. Ideal for ongoing development needs.

**Managed Services:** We manage and operate your data platform on an ongoing basis — monitoring, optimization and maintenance. You pay a monthly retainer for continuous support.

**Staff Augmentation:** We provide individual engineers or specialists who integrate with your existing team. Ideal when you need specific skills (ML engineer, BI developer) for a defined period.

Most clients start with a project-based engagement and expand to a dedicated pod or managed services model as their data maturity grows.

Question 4

Which cloud platforms and data stacks do you typically work with?

Accepted Answer

We are cloud-agnostic and work with all major platforms based on your needs:

**Cloud Platforms:** AWS (Redshift, Glue, Kinesis, S3), Azure (Synapse, Data Factory, Event Hubs), Google Cloud (BigQuery, Dataflow, Pub/Sub).

**Data Warehouses:** Snowflake, Databricks, BigQuery, Redshift, Azure Synapse Analytics.

**Data Orchestration:** Apache Airflow, Prefect, Dagster, AWS Step Functions, Azure Data Factory.

**Stream Processing:** Apache Kafka, Apache Flink, AWS Kinesis, Azure Event Hubs.

**Data Transformation:** dbt, Apache Spark, PySpark, SQL-based transformations.

**BI & Visualization:** Power BI, Tableau, Looker, Apache Superset, QuickSight.

**AI & ML:** OpenAI, Hugging Face, LangChain, MLflow, TensorFlow, PyTorch.

**Databases:** PostgreSQL, MySQL, MongoDB, Cassandra, Redis.

**Our Approach:** We recommend the right stack based on your existing investments, team skills, compliance needs and budget — not based on what we're most comfortable with.

Question 5

How do you handle data security and access control in your solutions?

Accepted Answer

Data security is built into every solution we deliver, not added as an afterthought:

**Encryption:** All data is encrypted at rest (AES-256) and in transit (TLS 1.3). This applies to databases, data lakes, pipelines and API endpoints.

**Access Control:** Role-based access control (RBAC) with fine-grained permissions. Users get only the access they need — no more, no less.

**Authentication:** Integration with your existing identity providers (Active Directory, Okta, Azure AD) for single sign-on and centralized user management.

**Audit Logging:** Comprehensive logging of all data access, queries, modifications and administrative actions. Full audit trails for compliance and forensics.

**Network Security:** VPC isolation, private endpoints, firewall rules and IP whitelisting to restrict access to authorized networks only.

**Secrets Management:** Secure storage and rotation of credentials, API keys and connection strings using cloud-native secret managers.

Every data platform we build follows enterprise security standards from day one.

Data Shouldn’t Be Scary. We’ll Make It Simple..

HowWeWork

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Design

Build

Support

Discover

Design

Build

Support

IndustriesWeServe

Manufacturing

Technology and ML

Healthcare and Lifesciences

Education Technology

E-governance

WhyCompaniesChooseBrilliqs

Enterprise DNA, Not Startup Risk

70+ Engineers. One Mission.

Global Delivery, Indian Efficiency

OurEnterpriseTechStack

FrequentlyAskedQuestions

Data Engineering vs Data Analytics: The Real Difference in Business Terms

What Data Engineering Actually Means in a Real Business

How Data Moves Inside a Company From Source to Decision

Ready to Transform Your Data?

Data Shouldn’t Be Scary. We’ll Make It Simple..

HowWeWork

Discover

Design

Build

Support

Discover

Design

Build

Support

IndustriesWeServe

Manufacturing

Technology and ML

Healthcare and Lifesciences

Education Technology

E-governance

WhyCompaniesChooseBrilliqs

Enterprise DNA, Not Startup Risk

70+ Engineers. One Mission.

Global Delivery, Indian Efficiency

OurEnterpriseTechStack

FrequentlyAskedQuestions

QWhat services does Brilliqs offer in data and AI?

QWhat engagement models do you offer?

QHow do you handle data security and access control in your solutions?

QWhat is Brilliqs and what do you do?

QWhich cloud platforms and data stacks do you typically work with?

Data Engineering vs Data Analytics: The Real Difference in Business Terms

What Data Engineering Actually Means in a Real Business

How Data Moves Inside a Company From Source to Decision

Ready to Transform Your Data?