Sravani D Email and Phone Number
Data Engineer with 8+ years of experience in designing, developing, and implementing data solutions for various clients. Proven expertise in leveraging cloud platforms (AWS, Azure), big data technologies (Hadoop ecosystem, Spark, Hive, Pig, Sqoop), and data integration tools (Informatica, Talend, PowerCenter). Strong knowledge of relational databases (SQL Server, MySQL, Snowflake), data visualization tools (Power BI, QlikView), and version control systems (Git, GitHub). Demonstrated ability to collaborate effectively with cross-functional teams and deliver high-quality data solutions that meet business requirements.Experienced in developing resilient data pipelines, enhancing the efficiency of data warehousing, deploying live analytics, and constructing business intelligence solutions. Demonstrates a thorough grasp of data warehousing principles and skillfully enhances data storage and retrieval procedures. Leverages cutting-edge technologies to enable organizations to perform real-time data analysis and support well-informed decision-making. Proficient in designing user-friendly, interactive dashboards and reports to empower stakeholders at all levels. Remains up-to-date with the latest developments in data technologies and methodologies, promoting a collaborative approach to tailor data solutions to specific needs.
American Express
View- Website:
- americanexpress.com
- Employees:
- 69113
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Senior Data EngineerAmerican Express Aug 2021 - PresentNew York, United StatesI specialize in data management using various technologies, including AWS services like Glue, Data Pipeline, and EMR. I also use Informatica and Talend for data integration and optimize databases like Amazon RDS using Lambda and Step Functions.I analyze data using tools like QuickSight, Power BI, and QlikView to generate reports and visualizations for decision-making. I am proficient in Python, SQL, and T-SQL for data manipulation and optimization. I use Spark and Hadoop for processing diverse datasets and extracting insights.In my role, I collaborate with teams to develop interactive dashboards and ensure data accuracy for financial reporting. I manage databases like SQL Server, MySQL, and Snowflake for performance. I contribute to version control systems like Git and GitHub and manage tasks using Jira to align data solutions with business objectives.With my strong foundation in these technologies and finance experience, I provide reliable and efficient data solutions.
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Senior Data EngineerAscena Sep 2018 - Jul 2021Pataskala, Ohio, United StatesExperienced in effectively managing intricate data engineering assignments, guaranteeing the accuracy of data, and enhancing data workflows. A cooperative team member with excellent communication abilities and a deep interest in keeping up with the latest technological advancements in the field of data. Eager to embrace fresh challenges and seize opportunities to facilitate data-driven decision-making procedures.Skilled in utilizing state-of-the-art technologies and frameworks such as Azure Databricks, Azure Data Factory, Informatica PowerCenter, PySpark, Scala, Azure SQL Data Warehouse, Informatica Data Quality, Talend Data Quality, CosmosDB, Power Query, and others. -
Data EngineerMayo Clinic Sep 2017 - Jul 2018Gurugram, Haryana, IndiaUsing my expertise in technologies like Athena, RedShift, AWS Composer, and Sqoop, I built robust data pipelines for seamless data integration and processing. I efficiently performed data extraction, transformation, and loading using SSIS and Python scripting. I also utilized multiprocessing techniques to improve data processing speed. With my proficiency in PL/SQL, I created and optimized database queries for quick and accurate data retrieval.I collaborated closely with stakeholders and team members, utilizing Power BI, Confluence, and Jira for effective communication and project management. I employed PySpark, AWS Glue, and AWS Lambda for large-scale data transformations and advanced analytics.I designed and developed data integration solutions using Informatica and Talend, ensuring smooth data flow across systems. I implemented high-performance data processing and analysis solutions using Apache Spark and Microsoft SQL Server.For data warehousing and visualization, I worked with Snowflake and QlikView, enabling users to extract valuable insights from complex datasets.As a Data Engineer at Mayo Clinic, I utilized my technical skills and collaborated with a multidisciplinary team to drive data-driven decision-making and improve healthcare outcomes. -
Sql DeveloperMicron Technology Jun 2015 - Aug 2017Hyderabad, Telangana, IndiaI effectively utilized Sqoop to import and export data between Hadoop and other data sources, guaranteeing a seamless integration and processing of data. Furthermore, I employed Power BI to generate informative visualizations and reports, empowering stakeholders to extract valuable insights from intricate datasets.By utilizing PySpark, I constructed data processing workflows and implemented advanced analytics solutions. Additionally, I collaborated with Informatica and Talend to design and develop data integration solutions, ensuring a smooth flow of data across diverse systems.My expertise in Python, SQL, and Microsoft SQL Server enabled me to efficiently query and manipulate extensive datasets, facilitating data-driven decision-making. Moreover, I successfully managed and optimized relational databases using MySQL.
Sravani D Education Details
Frequently Asked Questions about Sravani D
What company does Sravani D work for?
Sravani D works for American Express
What is Sravani D's role at the current company?
Sravani D's current role is Actively looking for opportunities in the Data Engineering | Senior Data Engineer | Azure SQL Database | Python | R | Snowflake | Hadoop | ETL | AWS | Azure Data Factory | Power BI | Tableau | Scala ||.
What schools did Sravani D attend?
Sravani D attended Jawaharlal Nehru Technological University (Jntu), Hyderabad.
Who are Sravani D's colleagues?
Sravani D's colleagues are Juan Manuel Aron, Abhishek Pandey, Robin Thakur, Jaehee Cho, Alyssa Castro, Aishwarya Jain, Pravin Bakal.
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