End-to-End Data Engineering Capabilities Across the Data Lifecycle (Snowflake, Informatica, Databricks)
From Strategy – to – Governance Capabilities, we delivers complete Snowflake, informatica and Databricks services at enterprise scale.
Strategy & Roadmap
- Cloud data strategy and operating model definition
- Use-case prioritization across Analytics, ML, and GenAI
- Phased, domain-led migration and modernization roadmap
- Cost optimization and value realization planning
Foundation & Architecture
- Landing Zone, CI/CD Patterns
- Data Modelling (Medallion)
- Integration Pattern (Batch, CDC, Streaming)
Data Eng. & Modernization
- Large-scale ingestion using RDBMS, Mainframe, Files, APIs, and Cloud sources
- Batch, Streaming, and CDC ingestion patterns
- ELT pipelines, orchestration, and business rule implementation
- Snowflake integration patterns (Batch, CDC, Streaming)
- Performance tuning and optimization
Analytics & Data Products
- Curated datasets, Semantic Layer
- Data Marts, KPI Dashboards, Self-Service Analytics
- Data Sharing, Secure Collaboration
Data Quality & Observability
- Profiling, Reusable DQ Rules (DMF’s)
- Data Ownerships & Accountability
- SLA Tracking, Stewardship Review
- Cleansing, deduplication, validation, and anomaly detection
Governance & Compliance
- Catalogue, Lineage, Glossary, Tagging
- Data Security – RBAC, Masking
- Regulatory Controls (GDPR, HIPAA, BCBS239)tewardship Review
Expertise in Snowflake
Data Architecture & Modelling
- Medallion / Data Layer Architecture
- Dimensional Modelling
- Curated data products for BI
- Auto Sizing, Scaling of VW’s
Data Ingestion & Orchestration
- Snowpipe streaming, Streams, Tasks, Stages
- File storage integrations (S3/Blob/GCS)
- Advanced SQL, Dynamic Tables
- Stored Procedures (Python, JavaScript)
Performance & Cost Optimization
- Query profiling and tuning
- Warehouse optimization, Automatic Clustering
- Pruning strategies, Resource Monitor
- Warehouse policies & Usage analysis
Data Protection & Recovery
- Time travel and Data recovery
- Zero-copy cloning for fast & safe testing
- Data retention settings
Data Quality & Observability
- Data profiling, Exception management
- Reusable DMFs & DQ checks monitoring
- Metadata driven controls & Stewardship reporting
Governance, Security & Compliance
- RBAC & Role hierarchy
- Masking policies, tag-based policies
- Network policies, SSO/SAML/OAuth
- Auditing via ACCOUNT_USAGE
Snowflake Apps
- Native interactive app-Streamlit
- dBt, Airflow Orchestration, CI/CD deployment
- BI Tools – live query for real-time updates
Snowflake AI & ML Models
- Cortex AI Services (LLM functions, Agents)
- Document AI Models (extraction / classification)
- Trust Centres
Snowflake Data Sharing
- Outbound secure data sharing with RBAS and secure views
- Configure inbound sharing & integrate into curated datasets
- Publish governed datasets as listings
Expertise in Informatica
Data Architecture & Modelling
- Datawarehouse & mart design (Bronze / Silver / Gold layers)
- Data modelling
- Batch & streaming ingestion patterns
- Scalable transformation design
ETL & Orchestration
- Informatica mappings, session, workflows
- Incremental processing & CDC patterns
- Pipeline observability & failure handling
- Integration with cloud storage (S3 / ADLS / GCS)
Data Protection & Recovery
- Discovery and Classification
- Data Masking and Encryption
- Disaster Recovery Strategies for data restoration and business continuity
Machine Learning & AI Enablement
- Feature engineering & ML pipelines
- Model training, tracking & deployment (ML flow)
- Support for AI/ML and GenAI use cases
- End-to-end ML lifecycle enablement
Data Ingestion & Reporting: (Leading US Based CDMO: CURIA)
PROBLEM STATEMENT
- Data onboarding did not scale across sources and teams
- Data quality was inconsistent and unmanaged
- End-to-end lineage was not provable
- Data consumption was siloed across departments
OUR SOLUTION
- Standardized batch, CDC, and event-driven ingestion using CAI, CDI, and CMI for scalable, re startable pipelines.
- Implemented Bronze–Silver–Gold layers to enforce traceability, governance, and analytics-ready data.
- Embedded profiling-driven quality checks with reusable rules and actionable exception handling.
- Enabled end-to-end lineage, ownership, and policy enforcement through CDGC/CMP.
- Delivered federated, domain-owned marts from curated layers to ensure a single version of truth.
KEY BENEFIT
As a result, the client reduced data onboarding from weeks to days, improved trust through enforceable quality controls, increased performance by shifting transformations to Snowflake, achieved audit-ready traceability with end-to-end lineage, and aligned all departments on consistent KPIs from shared curated datasets.
From Fragmented Data to a Trusted, Analytics-Ready Lakehouse
Data Migration: (Leading US Bank: USAA)
PROBLEM STATEMENT
- Large-scale migration risk: ~100 TB of critical banking data needed to move to Snowflake in less than 6 months.
- Zero-tolerance for errors: business metrics and reporting had to remain identical during cutover.
- Operational complexity: hundreds of tables made manual or bespoke migrations unviable.
- Execution risk: required a repeatable, low-risk approach to avoid delays and rework.
OUR SOLUTION
- Delivered a ~100 TB Netezza-to-Snowflake lift-and-shift migration, maintaining full functional equivalence during cutover.
- Managed scale and risk through parallel loading, incremental deltas, and rigorous reconciliation controls.
- Implemented a metadata-driven dynamic ingestion framework, enabling hundreds of tables to migrate using a small set of reusable mappings.
- Established a future-ready foundation, positioning the platform for Snowflake-native ELT optimization and long-term maintainability.
KEY BENEFIT
As a result, the client achieved a low-risk, on-schedule migration, significantly reduced engineering effort, faster execution during cutover, and a Snowflake foundation ready for scalable optimization and future growth.
Netezza to Snowflake Migration using Informatica
Lift and Shift Migration (close to 100 TB data)
Why OpTech?
Enterprise IT Solutioning Experience
- We have more than 550 combined years of experience delivering complex data engineering solutions
- Strong foundation in enterprise architectures, cloud, and data platforms
- Proven ability to translate business needs into scalable technical solutions
Certified Snowflake, Informatica and Databricks Professionals
- We have a team of 19 certified and experienced Snowflake and Informatica engineers
- Hands-on expertise across strategy, migration, optimization, and operations
- Deep understanding of analytics, performance, and cost governance
Skilled & Motivated Delivery Teams
- Our team of close to 45+ data engineers Carefully selected, highly skilled professionals helps us deliver the most critical projects in record time.
- Strong ownership mindset and delivery accountability
- Continuous learning culture across Snowflake, Databricks, and cloud platforms