INDENGIN
TECHNOLOGY SOLUTIONS
TECHNOLOGY SOLUTIONS
Your all-in-one partner for Enterprise Grade Cloud Native solutions.
OUR SPECIALIZATIONS
. Business Analysis & Domain Modeling
Collaborative sessions to capture business goals, workflows & rules
Process mapping, user personas & functional decomposition
Domain-driven design (DDD) for clear boundaries & ownership
2. Backend Architecture & API Design
Scalable REST/GraphQL APIs
Modular service layers aligned with core business domains
Patterns: Clean Architecture, Onion, Hexagonal
3. Microservices & Event-Driven Systems
Decompose monoliths or design microservices from the ground up
Use of message queues (Kafka, RabbitMQ, SQS) for async processing
4. Data Design & Persistence
Schema design based on business rules
SQL/NoSQL/Graph DBs based on data access patterns
Caching strategies for low-latency performance
5. Identity & Access Layer
Multi-tenant auth, role-based access, SSO integrations
Secure token handling (OAuth2, JWT, OpenID)
6. Testing, Observability & DevOps
Business logic unit testing using domain scenarios
Logging, tracing & alerting integration
1. Serverless Application Design & Development
Build fast, scalable, and cost-effective applications using AWS Lambda, API Gateway, DynamoDB, and S3. Ideal for startups, event-driven systems, and microservices architectures.
2. Real-Time Data Processing Pipelines
Implement powerful data streams and analytics using AWS Kinesis, Lambda, and Firehose zero infrastructure hassle.
3. Serverless APIs & Backend Services
RESTful or GraphQL APIs powered by API Gateway, Lambda, and DynamoDB. Seamlessly integrated with your frontend or mobile apps.
4. Event-Driven Architectures
Design loosely coupled systems with SNS, SQS, EventBridge to handle business events reliably and asynchronously.
5. Scalable File & Media Workflows
Build intelligent file processing pipelines (image/video transcoding, text extraction) using S3, Lambda, Rekognition, Textract, and Step Functions.
6. Serverless DevOps & Automation
CI/CD pipelines using AWS CodePipeline, SAM, and CDK for zero-downtime deployments and infrastructure as code.
7. Secure & Compliant Workloads
Integrate IAM, Cognito, and Secrets Manager to manage users, access control, and application secrets — all within best-practice security frameworks.
1. Data Ingestion Pipelines
Real-time streaming using Amazon Kinesis, Kafka on MSK, and AWS IoT Core
Batch ingestion with AWS DataSync, S3, and Glue Crawlers
Support for semi-structured and unstructured formats (JSON, CSV, Parquet, XML, video, logs)
2. ETL/ELT Data Transformation
Managed ETL with AWS Glue (Python or PySpark)
Code-based pipelines using Apache Airflow on MWAA
Raw → Clean → Trusted → Curated zones in S3 Data Lakes
3. Data Warehousing & Analytics
Scalable warehousing using Amazon Redshift and Redshift Spectrum
Interactive querying over S3 with Amazon Athena
Seamless integration with QuickSight, Power BI, or custom dashboards
4. Data Lake Design & Governance
Centralized storage on Amazon S3 with Lake Formation
Lifecycle policies, object versioning, partitioning
Access controls via IAM + Lake Formation permissions
5. Orchestration & Workflow Automation
Complex DAGs with Apache Airflow
Event-driven triggers using Lambda, EventBridge, and Step Functions
6. Monitoring, Security & Compliance
Logging with CloudWatch, AWS CloudTrail, OpenTelemetry
Encryption at rest & transit using KMS
Compliance with GDPR, HIPAA, and enterprise audit requirements
1. Native Android Development
Kotlin-based scalable Android apps
Deep integration with Android APIs, sensors, and services
Optimized for performance, battery, and offline support
2. Native iOS Development
Swift-powered iOS apps with smooth UI/UX
Seamless integration with iOS ecosystem (Apple Pay, HealthKit, etc.)
Built for performance and App Store compliance
3. Flutter App Development
Single codebase for Android & iOS
Rich, expressive UI with custom animations
Ideal for rapid MVPs and scalable cross-platform solutions
4. React Native Development
JavaScript-powered apps with near-native performance
Code sharing with web platforms
Integrations with native modules where needed
1. CPU & Memory Profiling
In-depth runtime analysis
Garbage collection tuning
Thread and heap optimization
2. API Latency Reduction
Endpoint profiling & breakdown
Parallelism, batching & pagination strategies
Smart payload design & compression
3. Database Model & Query Optimization
Schema redesign for performance
Query execution plan analysis
Index tuning & denormalization strategies
4. Caching Strategy Design
Application-level, distributed & edge caching
Redis/Memcached integration
Cache invalidation logic based on domain rules
5. Resource Utilization Tuning
CPU/RAM/IO usage patterns across services
Load simulation & bottleneck identification
Right-sizing compute instances and auto-scaling
6. Load & Stress Testing
Scenario modeling & user journey simulations
Tooling: JMeter, k6, Locust
Stability and recovery under peak load
7. Architecture Recommendations
Async processing, CQRS, data partitioning
Message queues, event sourcing, and job queues
Serverless options where applicable
1. CI/CD Pipeline Automation
End-to-end pipelines using GitHub Actions, GitLab, Jenkins, or AWS CodePipeline
Automated builds, testing, versioning & deployments
Blue-Green, Canary & Rolling deployment strategies
2. Infrastructure as Code (IaC)
Terraform, AWS CDK, CloudFormation
Version-controlled, reproducible cloud infrastructure
Environments: AWS, Azure, GCP
3. Shift-Left Security Integration
Static & dynamic code analysis (SAST/DAST)
Dependency vulnerability scanning (e.g., OWASP, Snyk, Trivy)
Secrets detection and secure credential management
4. Containerization & Orchestration
Docker-based containerization of microservices
Secure image pipelines with vulnerability scanning
Kubernetes setup (EKS, AKS, GKE) with role-based access
5. Monitoring, Logging & Alerting
Centralized logging (ELK, Loki, CloudWatch)
Real-time metrics & alerts (Prometheus, Grafana, Datadog)
Proactive incident management & root cause analysis
6. Governance & Compliance
Policy-as-code using tools like OPA, Sentinel
Audit trails, encryption, access reviews
Adherence to HIPAA, GDPR, SOC2, PCI-DSS (as applicable)