Sheila S.
Data Entry Specialist

Skills

Spark

Sql

Apache Hadoop

Databricks

Oracle Database

Python

Microsoft Azure

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Bio

Expertise in Big Data, Analytics, and Business Intelligence with over a decade of experience in both cloud (Azure) and on-premises environments. Specializes in developing ELT processes and data pipelines for both batch and streaming data ingestion, as well as defining and implementing ETL processes for data warehouses and Data Marts. Extensive proficiency in Azure Cloud, including Databricks, Data Factory, Synapse, and the Hadoop Framework. Skilled in relational and multidimensional data modeling, and experienced in Python development and distributed data processing with PySpark. Strong background in SQL and NoSQL databases.

Proven ability to collaborate effectively with multidisciplinary teams within agile squads, easily comprehending business objectives and processes. Demonstrates resilience under pressure in dynamic environments, swiftly resolving incidents and problems, with a focus on root cause analysis. Proficient in SAS Guide and SAS Studio for managing large data volumes to provide descriptive and predictive analytics, fostering a data-driven culture. Currently seeking opportunities to leverage skills on AWS platforms and expand knowledge in technologies like Kafka to drive innovation and efficiency in data projects.

Data Engineering Specialist
8/1/2022 - Present

Worked collaboratively with a multidisciplinary team of analysts and data scientists in developing predictive models. Achieved successful development and implementation of data pipelines, both cloud-based and on-premises, alongside the implementation of predictive models. Proficient in manipulating large volumes of data using SAS Guide and macros to meet business needs in credit and collection. Demonstrated expertise in requirements gathering, data mapping, and the documentation of implemented processes. Utilized tools and frameworks such as Hadoop, Cloudera Data Lake, Python, Spark, Oracle, SAS Guide, and SAS Miner to achieve project objectives.
Data Engineering Specialist
1/1/2021 - 8/1/2022

Led the data engineering team in developing and implementing data solutions both in a cloud environment (Azure) and on premises. Guided the team on best practices and tools for efficient data pipeline development. Collaborated with multidisciplinary teams to understand business requirements and develop data solutions aligned with strategic objectives. Demonstrated expertise in cloud technologies, data pipeline frameworks, and team leadership.
Tech Lead
4/1/2019 - 12/1/2020

Developed expertise in identifying, proposing, and implementing improvements in the entire development process. Ensured compliance with product specifications, documentation, workflows, architecture, and defined implementations, regularly assessing the need for adaptation. Conducted comprehensive code reviews and engaged in pair programming, promoting best practices among developers and clarifying technical queries. Assisted the development team in understanding demands such as complexity, test scenarios, and workflow to ensure a thorough grasp of activities. Performed technical design analysis and product construction, evaluating potential risks and issues. Analyzed the quality of key deliveries and provided feedback to developers for continuous improvement. Systematized work information to develop project KPIs and metrics. Gained proficiency with tools such as Cloud Azure, Azure Databricks, Azure Data Factory, SAS Guide, SAS Studio, SQL and Oracle databases, and Oracle Cloud Infrastructure (OCI).
Data Engineer
12/1/2018 - 4/1/2019

Developed and deployed bots and projects tailored for the investment sector across various platforms, showcasing advanced technical expertise. Successfully created a Binance application, enhancing trading capabilities and user experience. Designed and implemented panels and indicators crucial for business monitoring, driving informed decision-making processes. Proficient in using Python for scripting and automation, Power BI for data visualization and business intelligence, C# for application development, and C++ for performance-critical components, demonstrating a versatile and robust skill set.
Data Science Analyst
1/1/2010 - 11/1/2017

Led the development and deployment of data projects in the card area, collaborating with a multidisciplinary team to implement Data Management (DM) solutions for the business sector. Acted as the primary business liaison with the IT department. Engaged in agile squads to define architecture, technical design, and implementation of data pipelines for ingestion into Data Lakes (DL) within an on-premises environment. Presented panels and indicators to the executive committee, and monitored the program and project evolution. Promoted a data-driven culture within the business area.
Systems and Projects Analyst
1/1/2005 - 1/1/2010

Led the data restructuring program, directing business areas toward optimal data governance and identifying program gaps. Facilitated rationalization by appropriately distributing business intelligence tools based on requesters' needs. Managed project risks and organizational impacts while overseeing project communication management, including status reports and conducting positioning meetings. Engaged in stakeholder negotiations with both internal and external clients and suppliers. Conducted surveys and analyzed business requirements to define technical solutions, incorporating industry best practices and adhering to architectural standards and platforms. Developed sustainable, high-availability, and scalable systems to meet customer needs through detailed preparation of technical specifications and data modeling, including relational and dimensional star schema and snowflake schemas. Defined and monitored implementation and post-implementation strategies to ensure effective solution delivery. Provided guidance and support to analysts on both technical and functional aspects within the project.