Data Engineering Services
Adopt fast, scalable, and secure data solutions with modern Data platforms.
Aegis is a leading data engineering service provider, empowering enterprises to leverage their data through smooth cloud migrations, optimized data pipelines, and AI/ML integration. Our expert team delivers end-to-end solutions, covering everything from data ingestion to advanced analytics to propel the business through informed data-driven decisions.
- 18+ years of experience in comprehensive data integration and migration services.
- 100% success rate in delivering AI/ML solutions for predictive analytics.
- Expertise in cloud platforms and building Optimized pipelines for real-time, batch, and hybrid processing.
- Strict adherence to NDA guidelines, data security, and compliance.
- 60+ team with India’s top 3% data engineers working time-zone friendly.
Our Technical Expertise in Data Engineering Solutions
Data Ingestion & Integration
We efficiently capture data from various sources using tools like Apache Kafka and AWS Kinesis. Our expertise in web APIs, IoT sensors, and business systems for transforming data to support advanced business analytics.
Distributed Systems & Parallel Processing
We are proficient in designing scalable distributed systems with Hadoop and Spark, optimizing large-scale data through partitioning. Expertise in real-time event-driven architectures using Kafka and message queues.
Data Storage Solutions
Aegis team is an expert in SQL databases, data lakes, and columnar systems like Redshift and BigQuery. Skilled in big data file formats and cloud object storage for high-performance analytical workloads.
Data Security & Privacy
Aegis team ensures secure data with encryption, privacy compliance like GDPR, HIPAA, and fine-grained access controls through RBAC, meeting enterprise-grade security standards.
Data Pipeline Orchestration & Automation
We are automation experts with Airflow and CI/CD practices and skilled in event-driven architectures, enabling robust, real-time workflows across data systems.
Data Performance Optimization
Aegis data engineers are experts in query optimization, caching, and indexing for high-performance analytics. We also have expertise in partitioning and sharding to enhance database efficiency.
Data Governance & Metadata Management
We are experts in implementing data catalogs, quality frameworks, and lineage tools like Apache Atlas, ensuring data integrity, traceability, and compliance.
Data Processing Frameworks
Aegis data specialists excel in scalable ETL/ELT pipelines with Airflow and Spark. Proficient in SQL-based transformations for querying and aggregating massive datasets across platforms.
Cloud Data Engineering Expertise
Expertise in AWS, Azure, and GCP, with a focus on serverless pipelines and cross-cloud solutions. We build Cost-optimized and scalable systems tailored for hybrid environments.
Data Visualization & Reporting
Our team is proficient in using BI tools like Tableau and Power BI and skilled in Python-based custom visualizations for advanced analytics and exploratory data analysis.
Machine Learning & AI in Data Engineering
Supporting ML workflows with advanced data preparation, pipeline automation, and model monitoring using tools like Kubeflow and MLflow.
Integration and Real-Time Data Processing
The Aegis team can build data pipelines using Apache Flink and AWS Kinesis and also integrate systems through APIs and cross-platform workflows.
Our Mastery of Data Engineering Tools and Technologies
The Aegis team leads in data engineering with comprehensive expertise in advanced tools and technologies. We deliver world-class data solutions across global industries, and our proficiency in top cloud platforms ensures modern, reliable services in data engineering.
| Data Storage & Management | Amazon S3 (AWS) | Azure Data Lake Storage (Azure) | Google Cloud Storage (GCP) | Hadoop HDFS | Amazon Redshift (AWS) | Google BigQuery (GCP) | Snowflake | ClickHouse | Apache Cassandra | MongoDB (NoSQL) | Amazon S3 (AWS) | Azure Blob Storage (Azure) | Google Cloud Storage (GCP) |
| Data Integration & Ingestion | Apache Kafka | AWS Kinesis | Google Pub/Sub | Apache Nifi | Apache Flume | Fivetran | Stitch | Talend | AWS Glue | Apache Sqoop | AWS Glue (AWS) | Azure Data Factory (Azure) | Google Cloud Dataflow (GCP) |
| Data Processing Frameworks | Apache Spark | Apache Flink | Apache Beam | Apache Hive | Dask | Apache Pig | Google Dataflow | AWS EMR | Databricks | AWS EMR (AWS) | Azure Synapse Analytics (Azure) | Google Cloud Dataproc (GCP) |
| Data Pipeline Orchestration | Apache Airflow | Luigi | Perfect | Apache Oozie | Dagster | Google Cloud Composer. | AWS Step Functions. | AWS Step Functions. | Azure Data Factory (Azure) | Google Cloud Composer (GCP) |
| Data Transformation & Modeling | dbt (Data Build Tool) | Apache Spark SQL | Google BigQuery SQL | Snowflake SQL | Talend | Dataiku | Amazon Redshift (AWS) | Google BigQuery (GCP) | Snowflake (Multi-cloud) |
| Data Governance & Metadata | Apache Atlas | Alation | Collibra | Great Expectations | Deequ | Talend Data Fabric | Marquez (Open-source) | AWS Glue Data Catalog (AWS) | Azure Purview (Azure) | Google Cloud Data Catalog (GCP) |
| Data Security & Privacy | AWS KMS | Azure Key Vault | Google Cloud KMS | Apache Ranger | HashiCorp Vault | Okta (Identity Management) | Apache Knox | AWS Key Management Service (AWS) | Azure Key Vault (Azure) | Google Cloud KMS (GCP) |
| Big Data Processing | Hadoop (MapReduce) | Apache Spark | Apache Flink | Apache Hive | PrestoDB | ClickHouse | Hadoop YARN | Apache HBase | Google BigQuery (GCP) | AWS Redshift Spectrum (AWS) | Azure Synapse Analytics (Azure) |
| Machine Learning Integration | Apache Mahout | MLflow | TensorFlow | Google AI Platform | H2O.ai | Azure Machine Learning | Amazon SageMaker | Google AI Platform (GCP) | Azure Machine Learning (Azure) | AWS SageMaker (AWS) |
| Monitoring & Logging | Prometheus | Grafana | Datadog | Splunk | Elastic Stack (ELK) | AWS CloudWatch | Google Stackdriver | Amazon CloudWatch (AWS) | Azure Monitor (Azure) | Google Cloud Operations Suite (Stackdriver) (GCP) |
| Data Visualization | Tableau | Power BI | Looker | Qlik | Google Data Studio | D3.js | Plotly | Google Data Studio (GCP) | Power BI (Azure) | Amazon QuickSight (AWS) |
| Containerization & Orchestration | Docker | Kubernetes | Apache Mesos | Helm | AWS EKS (Elastic Kubernetes Service) (AWS) | Azure Kubernetes Service (AKS) (Azure) | Google Kubernetes Engine (GKE) (GCP) |
| DevOps for Data | Jenkins | GitLab CI/CD | Terraform | Ansible | Git | AWS CodePipeline (AWS) | Azure DevOps (Azure) | Google Cloud Build (GCP) |
Service offerings by Aegis in Data Engineering
Data-engineering Consulting services
Aegis Data engineers are experts in guiding businesses in designing custom data architectures, setting up data governance frameworks, and providing cloud strategy advice. We ensure data security, and regulatory compliance, and provide a roadmap for modernizing data systems to be scalable and flexible.
Data Engineering Infrastructure & Cloud Solutions
The Aegis team builds cloud-based data platforms, data lakes, and scalable warehouses using AWS, Google Cloud, and Azure. We ensure efficient data storage, processing, and containerized orchestration for modern data architectures.
Data Processing & Analytics Services
Aegis Data engineers provide end-to-end data processing services, from batch processing using Apache Spark to real-time analytics with tools like Apache Flink. We transform data to provide clarity to make informed decisions along with complex analytics and reporting.
Data Integration Services
The Aegis team helps businesses ingest data from various sources and external systems. We design efficient ETL/ELT pipelines and enable real-time data streaming.
Machine Learning & AI Integration
Aegis team efficiently can integrate machine learning models into data systems, automating end-to-end ML pipelines. Our services include model monitoring, optimization, predictive analytics, and many more.
Quality Assurance Services
Our team ensures the Client’s data quality management, metadata frameworks, and full data lineage tracking. We implement data catalogs and validation tools to maintain data accuracy, consistency, and compliance with industry standards.
Business Intelligence & Reporting
Aegis data specialists design interactive dashboards and reporting tools using platforms like Tableau, Power BI, and beyond. Our self-service BI environments help business users to independently query and analyze data, facilitating data exploration and custom reporting.
Data Security & Compliance
Our solutions protect sensitive business data with adherence to regulatory guidelines. Our team of data engineers protects data through encryption and various other means.
Data Migration
Aegis team helps companies migrate their data between or across cloud platforms and across on-premises systems. We also modernize legacy systems into scalable cloud-native solutions.
Data Automation & CI/CD for Data Pipelines
Our CI/CD solutions automate the deployment and maintenance of data pipelines. We also provide real-time monitoring and error resolution, enabling efficient event-driven data processing and automated data transformations.
Data Performance & Optimization
Our team focuses on optimizing query performance and reducing latency with partitioning, indexing, and caching strategies. Our services also include cost optimization for cloud data storage and compute resources, ensuring efficient use of resources.
Managed Data Engineering Services
Aegis data engineers manage end-to-end data pipelines, cloud infrastructure, and ongoing data operations. We ensure seamless deployment, scaling, monitoring, and maintenance, offering full support for daily data engineering needs.
Why Aegis Is Preferred for Data Engineering Services?
Aegis stands out by addressing current data challenges and also preparing clients for future success as their data needs evolve. Explore why all major companies prefer to partner with us!
| Aegis is an ISO-27001-certified company with AWS, Azure, Google Cloud, and hybrid environments expertise. |
| Global teams with diverse languages and cultures deliver our solutions." |
| On-time project delivery of cost-effective data engineering solutions. |
| Real-time and batch processing capabilities for all data volumes. |
| On-demand teams working across all global time zones. |
| Top-level data solutions with strict adherence to security and compliance standards. |
| Comprehensive data engineering expertise, from ingestion to reporting. |
| We offer Industry-specific data solutions for various sectors. |
| 60+ experienced data engineers with an average of 8+ years. |
| Save up to 50% with world-class data solutions. |
Industries We Serve
Aegis data engineers and data scientists provide industry-focused data engineering solutions to enhance business productivity through actionable data clarity.
Automotive
Aegis can offer real-time data processing, telemetry analytics, and predictive maintenance to improve efficiency.
Technology & Startups
Aegis can provide scalable data architecture, cloud solutions, and agile frameworks for rapid development and deployment.
Pharma
Aegis ensures efficient clinical trials, secure patient data, and regulatory compliance through advanced data management.
Telecom
Aegis delivers real-time data processing and data clarities to improve service quality and network performance.
Education
Aegis delivers learning analytics, personalized systems, and performance tracking to enhance educational outcomes.
Aviation
Aegis optimizes flight scheduling, safety monitoring, and customer experience with data-driven solutions.
Travel & Tourism
Aegis offers demand forecasting, customer insights, and dynamic pricing to boost efficiency and satisfaction.
Fintech
Aegis offers secure compliance solutions, secure data handling, and real-time fraud detection to enhance FinTech operations.
Manufacturing
Aegis integrates smart device data for predictive maintenance, operational optimization, and supply chain management.
Client Testimonials
“Aegis transformed our data strategy with AI-powered data solutions. The scalable architectures, real-time analytics, and intelligent automation accelerated our digital transformation and boosted growth."
“Aegis data engineering team has automated our data pipelines, making it easy to integrate data from multiple sources. Their cloud-native solutions keep our data synced in real-time, hassle-free.”
“With Aegis partnership, we transformed our outdated systems and gained actionable insights through their predictive analytics expertise.”
“We are happy to have collaborated with Aegis to modernize our data strategies. Their agile approach gave us fast implementation without compromising on quality.”
Case Studies
Data Engineering Services on AWS Cloud for A Large Insurance Enterprise
The globally leading Insurance sector offers many services including life, health, automobile, and property insurance.
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Data Engineering Services on Azure Cloud for A Large Media & OTT Platform
The globally acclaimed Media and OTT streaming platform industry approached Aegis Softtech to address the existing challenges related to data processing, real-time analytics, and personalized user experience due to the growth of subscribers and content volume.
See More
Our Process for Successful Data Engineering Solutions
Planning & Requirement Gathering
We collaborate with stakeholders to define project goals, gather requirements, and set the scope, ensuring all compliance and security needs are addressed.
Architecture & Design
We design the data system architecture, select the right technologies, and define storage and processing strategies, focusing on scalability and security.
Data Engineering Development
The Aegis team builds data pipelines for batch and real-time data. We also implement storage solutions and automate workflows for smooth data processing.
Data Quality, Governance & Testing
We validate data quality, track its lineage, and ensure security compliance and also conduct rigorous testing to ensure everything works as expected.
Analytics & Visualization
Dashboards, reports, and predictive model creation to enable data-driven business decision-making.
Deployment & Operationalization
Our team deploys the cost-effective and scalable solution to production and fine-tunes it for performance.
Ongoing Maintenance
The Aegis team monitors the system, troubleshoots issues, and makes ongoing improvements based on user feedback.
Our Engagement Model
Fixed Pricing Monthly
Hire a dedicated team of data engineers, data specialists, project managers, and many on-demand at a fixed rate. Our team will work solely on your project as an extended team.
Hourly Pricing
We offer flexible Data engineering services at hourly rates, providing tailored solutions to meet your specific needs at competitive prices.
Time & Material Basis
We price our work based on project duration and required resources, establishing a clear agreement with clients before starting. You have the flexibility to add or remove team members as your project needs evolve.
Frequently Asked Questions
Data engineering concentrates on building and maintaining the systems or infrastructure to manage data whereas the Data science section analyzes data for insights and decision-making, and creates predictive models.
Big data companies use data engineering to collect and process customer data. The services also help them track customer behavior, improve services and personalization, and make data-driven decisions enhancing efficiency.
- Amazon S3
- Amazon Redshift
- AWS Glue
- Amazon EMR
- AWS Lambda
- Amazon Kinesis
- AWS Data Pipeline.
The development time depends on factors like data complexity, size, sources, and project scope. We develop simple solutions like data pipelines in weeks and complex projects like data warehouses or multi-source integrations in months.
The top cloud platforms for data engineering are Azure, AWS, and GCP.
- AWS offers Redshift and EMR,
- GCP has BigQuery and Dataflow,
- Azure provides Synapse Analytics and Data Factory.
Yes, of course. Aegis data engineers offer customized data engineering solutions to each industry.