Data Engineer

• Process Automation: Reduced the time of manual
executions by 50% in 7 months by automating a crucial
part of the process, resulting in significant efficiency
gains and allowing the team to focus on higher-value
tasks.
• API Development: Developed APIs to improve and
automate processes on GCP platform, leading to faster
and more reliable data exchange between systems and
enhancing overall system performance.
• Data Pipeline Optimization: Utilized AWS Glue for data
pipelines, streamlining data processing and
integration, which improved data accuracy and
reduced processing times.
• Technical Proficiency: Proficient in SQL and Python,
consistently delivering high-quality code and solutions
to complex data challenges.
• Agile Methodologies: Experienced in Agile
methodologies using Jira platform, ensuring efficient
project management, timely delivery, and continuous
improvement through iterative development.
• Advanced Toolset: Skilled in Docker, BigQuery, Glue,
and Athena, leveraging these tools to build scalable
and robust data solutions that meet business
requirements.
• Production Issue Resolution: Rapid identification and
resolution of problems affecting live environments.
• Timeline-Based Management: Prioritizing and
addressing issues according to urgency and impact,
ensuring timely interventions.

Cost Optimization: Reduced budget spending by 50%
by changing code and architecture, resulting in
substantial savings and improved resource allocation
for other critical projects.• Data Pipeline Creation: Created pipelines with Data
Factory to process data and upload files from file
servers, SQL Server on-premises, and Azure
Containers, enhancing data integration and processing
efficiency.
• Data Architecture Design: Defined and structured data
architecture, ensuring a scalable and efficient
framework for data management and analytics.
• Advanced Data Processing: Developed data processing
on Databricks using Python and SQL, effectively
managing the scope for secrets and enhancing data
security and processing speed.
• Power BI Proficiency: Proficient in DAX for Power BI,
enabling the creation of sophisticated data
visualizations and insightful dashboards.
• Scrum Coordination: Coordinated developments with
Scrum, ensuring efficient team collaboration and timely
delivery of project milestones.
• Agile Methodologies and DevOps: Utilized Agile
methodologies with DevOps, registering and following
up with Azure DevOps to streamline development
processes and enhance project visibility.
• Project Management Skills: Skilled in Project
Management, overseeing project lifecycle from
planning to execution, and ensuring alignment with
business objectives.
• Managing production Deployment: Manage production
deployments and solving problems during
implementation and daily work.

• Led a Team to Success: Managed a cross-functional
team that developed and deployed a real-time API to
generate scores within just 4 months, significantly
improving our data analysis capabilities and response
time.
• Optimized Data Pipelines: Created and optimized ETLs
using PySpark and Python, resulting in a 30% increase
in data processing efficiency and reducing latency in
data delivery.
• Enhanced Data Storage: Utilized AWS S3 to create
robust information repositories and implemented
Lambda functions to ensure seamless and timely
updates, enhancing data accessibility and reliability.
• Streamlined Data Transfers: Designed and
implemented data transfer solutions using GCP,
BigQuery tables, cloud storage, and Cloud Functions,
facilitating smooth and secure data migration across
platforms.
• Advanced Data Querying: Leveraged Snowflake for
advanced querying, leading to a 20% improvement in
data retrieval times and more accurate insights.
• Dashboard Creation: Utilized Data Studio to design and
create interactive dashboards for KPIs and data
analytics, empowering stakeholders with real-time
insights and decision-making capabilities.• Mastered Tabular Models: Demonstrated expertise in
creating and managing tabular models, ensuring
efficient data organization and retrieval.
• Technical Proficiency: Proficient in SQL, Python, and
PySpark, consistently delivering high-quality code and
solutions.
• Architected Data Solutions: Designed comprehensive
data architecture to create scalable pipelines and
managed teams to customize and enhance existing
dashboards, leading to improved data visualization and
user experience.
• Infrastructure Development: Developed infrastructure
using Terraform to automate the creation of cloud
functions, BigQuery tables, and data transfers,
ensuring a reliable and scalable environment.
• API Development with Docker: Created and deployed
Docker images for APIs, streamlining the development
and deployment process, and enhancing application
performance.
• Project Management Expertise: Successfully managed
multiple projects, ensuring timely delivery, adherence
to budget constraints, and alignment with business
objectives.