Sai Sruthi

Sai Sruthi Email and Phone Number

Data Engineer | University of South Florida |Ex-HCL Technologies | Ex-UBS | Ex-Deutsche Bank | Data Engineering Specialist - Big Data, SQL, Cloud Solutions, Data Visualization, Project Management Tools. @
Sai Sruthi's Location
Tampa, Florida, United States, United States
About Sai Sruthi

I have over 6 years of experience in information technology, specializing in Big Data, Azure, Snowflake, Spark, Hive, SQL Tuning, ETL Development, & Data Modeling. My expertise spans Data Warehouse concepts, including RDBMS, OLTP, OLAP, & schema models, ensuring optimal data architecture and management. I’ve collaborated closely with business users and product managers to gather and translate data requirements into effective solutions.I have developed Business Requirement Documents (BRD), Functional & Technical Design, and Report Specification Documents. My experience includes creating Entity Relationship (ER) diagrams, Logical Data Models (LDM), Physical Data Models (PDM), and Conceptual Data Models (CDM). I’m proficient in Source to Target Mappings (STTM), drafting mapping documents, and optimizing data transformations.I’ve demonstrated the ability to optimize SQL queries and Spark performance, automating validation processes to ensure consistent data quality. My expertise includes Hive query optimization and external table design with partitioning and bucketing for enhanced performance. I also have hands-on experience with Python, using libraries such as PySpark, NumPy, and Pandas for advanced analysis & automation.I have successfully implemented scalable data pipelines using Azure Cloud services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage. I’ve worked extensively on real-time data processing with Azure Event Hubs, enabling high-throughput streaming and system integration. Additionally, I have experience with CI/CD pipelines using Azure DevOps to streamline deployments and ensure continuous integration.I am skilled at implementing Data Governance frameworks and adhering to security best practices within Azure environments, ensuring compliance with regulations and enhancing data protection. I’ve developed Test Plans and Unit Testing Documents to validate data accuracy and ensure system reliability. I’ve also conducted RCA for system failures, providing recommendations and documenting processes for future improvements.My expertise extends to creating interactive dashboards and performing exploratory data analysis using Tableau and PowerBI to support data-driven strategies. I regularly develop ad-hoc reports to meet business needs, providing actionable insights. Additionally, I am experienced with tools like ServiceNow and JIRA for managing workflows and ensuring smooth project execution. My diverse experience positions me to contribute effectively to data-driven projects and organizational goals.

Sai Sruthi's Current Company Details
Ameriken Consulting LLC

Ameriken Consulting Llc

Data Engineer | University of South Florida |Ex-HCL Technologies | Ex-UBS | Ex-Deutsche Bank | Data Engineering Specialist - Big Data, SQL, Cloud Solutions, Data Visualization, Project Management Tools.
Sai Sruthi Work Experience Details
  • Ameriken Consulting Llc
    Data Engineer
    Ameriken Consulting Llc Feb 2024 - Present
    . Collaborated with cross-functional teams to gather data requirements for ETL processes and engineering solutions. . Used Jira for streamlined communication and documentation, minimizing errors and enhancing project alignment.. Conducted data analysis using SQL, Power BI, and Python to identify trends and optimization opportunities, leading to a 25% increase in efficiency and a 20% cost reduction.. Developed technical specifications and data pipelines based on business requirements, translating them into actionable tasks for the engineering team and facilitating timely project delivery.. Enhanced backlog management, improving development team response times and resource allocation, ensuring efficient workflows and on-time delivery of data solutions.. Led data validation efforts, designing automated data quality checks to ensure accuracy. Quickly resolved discrepancies, maintaining reliable data for reporting.. Implemented Azure-based data solutions with tools like Azure Data Factory and Databricks, adopting.. Agile practices to accelerate project delivery by 35%. Actively participated in stand-ups and sprint planning.. Built real-time Power BI dashboards with drill-down capabilities, enabling stakeholders to make data-driven decisions. Regularly updated dashboards to align with evolving requirements.. Monitored project progress, tracking milestones, optimizing resource allocation, and identifying risks to implement strategies that prevented delays.. Conducted training sessions on new data tools, increasing user adoption by 15%. Developed user-friendly documentation and provided hands-on support to encourage effective tool use.. Provided post-launch support, troubleshooting data pipeline issues and collaborating with support teams to ensure stable, continuous data operations.
  • Deutsche Bank
    Data Engineer
    Deutsche Bank Jul 2019 - Sep 2022
    . Analyzed business processes, identified pain points, and aligned technical solutions to enhance system performance, collaborating with analysts and data scientists to meet business needs.. Designed scalable Azure and Snowflake solutions for large-scale data migrations, improving efficiency and reducing latency.. Converted SQL logic to SPARK-SQL and optimized complex SQL queries, significantly reducing data processing time.. Architected and managed ETL/ELT pipelines in Azure, integrating Databricks with Blob Storage to support seamless, scalable data storage.. Utilized Spark (Scala) and Python to automate tasks, process structured and unstructured data, and improve system resource utilization.. Conducted real-time analytics using Azure Synapse Analytics for actionable insights, optimizing Databricks performance by tuning YARN memory and CPU usage.. Created data models using ERWin (ER diagrams, Logical and Physical Data Models) to support data architecture and effective data transformation.. Automated ETL workflows with Informatica and SAS MDM, enhancing data flow and integration efficiency.. Streamlined data handling through bucketing strategies in Azure and utilized data formats like Avro and Parquet, converting JSON to Parquet for optimized processing.. Developed interactive Tableau dashboards for stakeholders, enabling data-driven decision-making.. Acted as a bridge between business and technical teams, ensuring alignment and clarity in system development.. Participated in Agile sprints and Scrum meetings, driving timely and collaborative solution delivery across the organization.
  • Ubs
    Data Analyst
    Ubs May 2017 - Jul 2019
    . Understood business requirements and prepared BRDs to guide project implementation.. Developed Functional & Technical Design and Report Specifications aligned with business needs.. Designed and implemented SQL logic, loaded report tables, and optimized SQL queries for enhanced performance.. Applied data quality measures using SQL scripts to ensure data integrity across multiple sources.. Conducted data analysis and profiling with SQL queries, generating actionable insights for decision-making.. Developed T-SQL procedures, functions, and triggers to automate and optimize database operations.Utilized control table logic to manage different project loads efficiently.. Created and maintained Informatica ETL mappings and workflows, ensuring accurate data extraction and transformation.. Fixed bugs in Informatica mappings to improve reliability and functionality.. Integrated Hadoop into ETL processes, accelerating extraction, transformation, and loading of semi-structured data.. Developed Hive tables with bucketing and implemented dynamic/static partitioning for optimal storage and retrieval.. Utilized HiveQL to manage structured data, improving search efficiency.. Designed and executed data conversion scripts and implemented ETL procedures using Pre-Stage, Stage, and Target tables.. Developed Hive queries for data evaluation, filtering, and loading, ensuring optimal data management.. Built data pipelines to import enterprise message delivery data into HDFS using Sqoop, Hive, and Spark for seamless flow.. Created reports, workbooks, and dashboards using Tableau for key stakeholder insights.. Designed wireframes and developed reports in Cognos Report Studio.. Created Test Plans and Unit Testing Documents to ensure solution accuracy.. Established standards and best practices for ETL documentation.

Sai Sruthi Education Details

Frequently Asked Questions about Sai Sruthi

What company does Sai Sruthi work for?

Sai Sruthi works for Ameriken Consulting Llc

What is Sai Sruthi's role at the current company?

Sai Sruthi's current role is Data Engineer | University of South Florida |Ex-HCL Technologies | Ex-UBS | Ex-Deutsche Bank | Data Engineering Specialist - Big Data, SQL, Cloud Solutions, Data Visualization, Project Management Tools..

What schools did Sai Sruthi attend?

Sai Sruthi attended University Of South Florida Muma College Of Business.

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