Data Engineer
Data Engineer
Available for hire
Years of
experience
5+ years
Experience
level
Senior
Available
for
Full-time
I'm a Senior Data Engineer with 5+ years of experience designing data warehouses, building scalable ETL/ELT pipelines, and delivering cloud-based data platforms using Python, SQL, Snowflake, Databricks, and Azure. What sets me apart is my ability to combine strong technical expertise with business understanding, leading projects from architecture through production while collaborating effectively with cross-functional teams. I'm looking for a remote Data Engineer or Senior Data Engineer role where I can build reliable, scalable data solutions and contribute to high-impact products.
Skills
React.js
Next.js
React Native
Node.js
SQL
Kafka
Docker
AWS
Azure
Angular.js
GitLab
JIRA
Kubernetes
OpenAI
MongoDB
PostgreSQL
MySQL
SQLite
Git
GitHub
Figma
CI/CD
ChatGPT
Machine Learning
Flutter
Python
Bash
Kotlin
MS SQL Server
BigQuery
Snowflake
Clickhouse
Oracle
FastAPI
NumPy
Pandas
Apache Kafka
Apache Spark
Airflow
Employment History
Technical Lead & Project Manager at
X-press Transportation — Car Shipping & Logistics Platform
Current
2025
-
Now
● Own end-to-end delivery of the cloud data platform — defining the DWH/lakehouse architecture, data-quality standards,
and roadmap, and aligning engineering output with business objectives.
● Lead a cross-functional team of data, backend, and BI engineers in an Agile/Scrum environment — sprint planning,
prioritisation, architecture and code reviews.
● Drive platform reliability — observability, governance, and pipeline robustness across Azure Data Factory, Medallion
layers, and the orchestration stack.
● Manage containerized deployment workflows via Docker and Kubernetes, with CI/CD (GitHub Actions / GitLab)
across Azure, AWS, and GCP, maintaining production stability and release quality.
● Translate business requirements gathered from product owners, business analysts, and executive sponsors into
actionable, scalable delivery plans.
Senior Data Engineer at
Nationwide Car Shipping & Logistics Platform
2024
-
2025
● Designed an end-to-end Medallion lakehouse/DWH (Bronze → Silver → Gold) on Delta Lake (Parquet), producing
analytics-ready datasets across 3+ operational domains for BI and reporting.
● Built distributed PySpark transformations for large-scale data cleansing, complex business logic and aggregation, plus
modular dbt mart layers with schema tests, source-freshness checks, and incremental models.
● Engineered fault-tolerant ETL/ELT pipelines with Azure Data Factory — parameterised pipelines, triggers, and linked
services across dev/test/prod — ingesting 5+ heterogeneous sources with incremental syncs and schema-drift handling.
● Built data-scraping scripts and third-party integrations (AWS S3/SQS/Lambda event ingestion with concurrency,
deduplication, and failure recovery; MongoDB Atlas event-driven capture) to bring external data sources into the central
platform.
● Deployed containerized pipelines via Docker and Kubernetes for scalable, fault-tolerant processing, with CI/CD
(GitLab / GitHub Actions) across Azure, AWS, and GCP.
● Implemented validation, quality checks, and monitoring frameworks to ensure data integrity across the platform.
Data Engineer/Data Analyst at
Maab — Financial Analytics Platform
2022
-
2023
Maab — Financial Analytics Platform
● Designed analytical DWH structures and data marts for investment-performance tracking, portfolio analytics, and risk
assessment, with full lineage and schema tests.
● Optimised T-SQL / SQL data models through indexing, partitioning, and query refactoring for minimal-latency
reporting and analytical views.
● Orchestrated cross-system ETL with Azure Data Factory; configured connectors ingesting external market data and
internal systems with automated daily refresh and failure alerting.
● Delivered Power BI and Qlik dashboards for management and analysts; collaborated on architecture decisions through
Agile ceremonies and tech reviews.
DATA Engineer at
MAAB— Banking Analytics Platform
2020
-
2021
● Delivered end-to-end data engineering for banking risk analysis and ATM-utilisation optimisation, processing large
scale transactional data from core banking systems.
● Designed dimensional models and high-performance SQL datasets — indexing, partitioning, query refactoring —
supporting BI and regulatory reporting.
● Built predictive models for ATM cash replenishment, reducing downtime and optimising cash-flow logistics in a
regulated financial domain.
● Partnered with BI developers and analysts to design data models for Power BI, DOMO, and Tableau dashboards.
Education
No education history.