Enterprise Data Engineering Services & Solutions

Turn your raw data into a strategic asset with robust PostgreSQL solutions and ETL pipelines.

Optimize Your Data
The Foundation

Architecting Reliability

Data is the lifeblood of modern enterprise. We provide end-to-end data engineering services focused on PostgreSQL.

From designing complex warehouses for analytical workloads to tuning high-frequency transactional databases, we ensure your data layer is resilient, secure, and blazingly fast.

Raw Sources
Ingestion & ETL
Warehouse
Value

Data Capabilities

Data Warehousing

Design and implementation of centralized data warehouses for unified reporting and analytics.

Performance Tuning

Query optimization, index strategy analysis, and configuration tuning to maximize throughput.

ETL Services & Data Pipelines

Automated workflows to extract, transform, and load data from diverse sources into your ecosystem.

High Availability

Setup of replication, failover strategies (Patroni/Stolon), and disaster recovery planning.

Migration

Seamless migration from Oracle, MySQL, or SQL Server to PostgreSQL with minimal downtime.

Analytics

Time-series data optimization and integration with BI tools like BIRT and KNIME.

Blueprint for Success

Data Modelling

We construct the structural foundation of your data ecosystem. Expert data modeling for data warehouse ensures data integrity, reduces redundancy, and accelerates query performance.

Offerings
Conceptual Modelling
Logical Data Modelling
Physical Database Design
Normalization (3NF/BCNF)
Tools We Use
ER/Studio DbSchema Lucidchart SqlDBM
The Modelling Process
1. Requirements Gathering: Understanding business entities and relationships.
2. Conceptual Design: High-level entity-relationship diagrams (ERD).
3. Logical Specification: Defining attributes, keys, and normalization rules.
4. Physical Implementation: Generating optimized DDL for PostgreSQL/Snowflake.
Unified Truth

Data Warehousing

Consolidate your siloed data into a single, high-performance source of truth for advanced analytics and reporting.

Enterprise Data Warehouse

Centralized repositories integrated from marketing, sales, and finance systems, optimized for OLAP workloads.

Data Lakes

Scalable storage for raw, unstructured, and semi-structured data, ready for machine learning pipelines.

Data Marts

Subject-oriented subsets of the warehouse designed for specific departmental needs (e.g., HR, Sales).

Our Core Stack

PostgreSQL

The world's most advanced open source relational database for reliable OLTP and analytics.

Unity Catalog OSS

Unified governance layer for data and AI, managing permissions and lineage.

PySpark

Lightning-fast cluster computing using pyspark for processing massive datasets at scale.

Pandas

High-performance data manipulation with python and pandas analysis tools for Python ecosystems.

Data in Motion

Enterprise ETL Pipelines

We build resilient, self-healing etl pipelines and integrate robust etl tools for data warehouse that transform raw chaos into structured business intelligence.

Continuous Integration (CI/CD)
01

Extract

Ingesting raw data from diverse sources with minimal latency.

  • API & Webhooks
  • Database CDC
  • IoT Streams
02

Transform

Cleaning, normalizing, and enriching data for analytical readiness.

  • Data Deduplication
  • Schema Validation via Pydantic
  • Business Logic Application
03

Load

Optimized writing to final destinations with transaction integrity.

  • Data Warehouse (Parquet/Delta)
  • Analytical Views
  • Reverse ETL to CRM
Orchestrated By
Apache Airflow
Prefect
Seamless Transition

Data Migration

Migrate from legacy, expensive database systems to modern, open-source sql for data engineering performance engines without business disruption.

  • Heterogeneous Migration: Oracle/SQL Server → PostgreSQL
  • Cloud Migration: On-Premises → AWS RDS / Azure PostgreSQL
  • Data Replication: Seamless data replication strategies for zero-downtime cutovers.
Power Tools
AWS DMS pgLoader Ora2Pg Debezium (CDC)

Migration Lifecycle

1. Assessment & Planning

Schema complexity analysis, compatibility checks, and capacity planning.

2. Schema Conversion

Translating proprietary PL/SQL or T-SQL to standard PostgreSQL functions.

3. Data Replication (CDC)

Continuous data replication to keep source and destination in sync till cutover.

4. Validation & Cutover

Row count verification, integrity checks, and switching application pointers.

Security First Architecture

Role-Based Access Control (RBAC)

Granular permission management ensuring users see only what they need.

Encryption Everywhere

AES-256 encryption for data at rest and TLS 1.3 for data in transit.

Audit Logging

Comprehensive logs of every query and access attempt for compliance.

Control & Compliance

Governance & Security

Trust is your currency. We implement rigorous governance frameworks to ensure your data is secure, compliant, and cataloged.

From GDPR/HIPAA compliance to automated data lineage tracking, we give you full visibility and control over your data assets.

Apache Ranger Amundsen DataHub Collibra

Unity Catalog OSS

The Industry's First Open Unified Governance Solution for Data and AI.

Break down silos with a unified governance layer that works across clouds and data platforms. Unity Catalog OSS provides a single interface to manage permissions, lineage, and access for both data files and AI models.

Open Source Compute Agnostic Delta Sharing
Automated Lineage

Automatically capture runtime lineage down to the column level to understand data flow and impact analysis.

Delta Sharing

Securely share live data and AI models across organizations and clouds without replication.

Unified Privileges

Manage access policies for files, tables, and dashboards from a central control plane.

Data & AI Discovery

Quickly find relevant data assets and ML models with an intelligent search interface.

Visual Insights

BI & Analytics Integration

Transform raw numbers into compelling visual stories that drive executive action.

KNIME

Open-source platform for data analytics, reporting, and integration.

BIRT

Open source technology platform for reporting and data visualization.

Looker
Looker/GDS

Modern BI platform with unified metrics and embedded analytics.

Superset
Apache Superset

Open-source, enterprise-ready data exploration and visualization.

Continuous Improvement

Audits & Optimization

Data ecosystems drift over time. Our health checks identify bottlenecks, wasted costs, and security gaps.

Analysis of slow queries, index usage, and lock contention to restore sub-second latency.

Finding unused resources, over-provisioned instances, and cold data to reduce cloud bills.

Strategic roadmap planning to align your upcoming business goals with data capabilities.

-40%

Average Cost Reduction

Achieved through storage tiering and compute rightsizing.

3x

Faster Query Speed

Typical performance gain after index and vacuum tuning.

The Data Toolkit

PostgreSQL

Airflow

Python for Data Engineering

Docker Container

Spark

Unity Catalog OSS

Why It Matters

Why Robust Data Engineering Matters

Decision Speed

Clean, accessible data means your analysts spend less time wrangling and more time discovering insights.

Cost Efficiency

Optimized queries and partitioned tables reduce cloud compute costs significantly.

Data Integrity

Strict schemas and constraints ensure your business decisions are based on the truth.

Risk-Discounted Transition

Our Migration Framework

A distinct, battle-tested methodology ensuring zero data loss and minimal downtime.

1. Foundation

  • Schema Assessment Automatic conversion of proprietary types to open standards.
  • Risk Management Pre-migration impact analysis and identifying fallback triggers.
  • Dependency Mapping Comprehensive trace of all upstream and downstream application links.

2. Integrity & Validation

  • Reconciliation Frameworks Automated row-count verification and checksum validation per table.
  • Audit Reporting Detailed compliance logs for records transferred and transformed.
  • Performance Benchmarking Validating that new query speeds match or exceed legacy baselines.

3. Cut-over & Safety

  • Zero-Downtime Cutover Blue-Green deployment strategy with CDC synchronization.
  • Rollback Planning One-click reversal mechanisms to restore original state if KPIs fail.
  • Post-Migration Hypercare Dedicated support window for immediate issue resolution / tuning.

Frequently Asked Questions

Common questions about our Data Engineering services.

For modern cloud warehouses like Snowflake or BigQuery, we recommend ELT (Extract, Load, Transform). It allows for faster data loading and more flexible transformations using SQL within the warehouse.

We use Apache Kafka or AWS Kinesis to ingest streaming data, processing it with tools like Spark Streaming or Flink before landing it in your dashboard for sub-second latency.

Security is paramount. We use end-to-end encryption (TLS 1.2+) for data in transit and AES-256 for data at rest, complying with GDPR and HIPAA standards.

Is your data working for you?

Let's build a data infrastructure that drives your business forward.

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