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8 years of IT experience with BigData Hadoop & Spark Development. Experience with Hadoop ecosystem components like HDFS, MapReduce, Spark, Hive, Pig, Sqoop, Scala, Flume, Kafka, Oozie, Java and HBase. Working knowledge of Architecture of Distributed systems and Parallel processing frameworks. In-depth understanding of Spark execution model and internals of MapReduce framework. Good working experience in developing production ready Spark applications utilizing Spark-Core, Data-frames, Spark-SQL and Spark-Streaming API’s. Experience with Hadoop distributions like Cloudera (Cloudera distribution CDH4 and 5). Worked extensively in fine-tuning resources for long running Spark Applications to utilize better parallelism and executor memory for more caching. Good experience working with both batch and real-time processing using Spark frameworks. Proficient knowledge of Apache Spark and programming Scala to analyze large datasets using Spark to process real time data. Good working knowledge of developing Pig Latin Scripts and using Hive Query Language. Good working experience of performance tuning Hive queries and troubleshooting various issues related to Joins, memory exceptions in Hive. Good understanding of Partitions, bucketing concepts in Hive and designed both internal and external tables in Hive to optimize performance. Good experience using different file formats like Avro, RCFile, ORC and Parquet formats. Good working experience in optimizing MapReduce algorithms by using Combiners and custom partitioners. Experience with NoSQL Column – Oriented Databases like HBase, Cassandra, MongoDB and it’s Integration with Hadoop cluster. Experience with scripting language like Shell, Bash Scripts. Experience with data processing like collecting, aggregating, moving from various sources using Apache Flume and Kafka. In-depth understanding/knowledge of Hadoop Architecture and various components such as HDFS, Name Node, Data Node, Secondary Name Node, MapReduce programming paradigm. Worked with Sqoop to move (import / export) data from a relational database into Hadoop. Well versed with Agile-Scrum working environment using JIRA and version control tools like GIT. Flexible, enthusiastic and project-oriented team player with excellent communication skills.

 Data Engineer with 5+ years of experience in designing and developing enterprise-level, low-latency, fault-tolerant data platforms. Skilled in building distributed streaming data pipelines and analytics data stores using Spark, Flink, and Kafka. Proficient in Python, SQL, Scala, and clouds AWS, Azure), with a strong focus on CI/CD practices, security, and collaboration in agile environments. Experienced in supporting scalable cloud-based solutions and optimizing data processing for high-quality insights. Strong background in developing data pipelines, optimizing data storage & processing, and analyzing large-scale distributed systems. Applies SDLC methodologies & agile practices to deliver robust solutions for complex data engineering challenges. Adept at using visualization tools and experienced in cloud-based data architectures, ensuring efficient data management & analysis across diverse technological environments. 

Data has been the central focus of my career within information systems. Whether it be business intelligence and data warehousing as a means for the informative visualization of previously disparate data, or database development of ETL solutions for analytical applications, data has been the focal point of my career knowledge and experience.

Dedicated and motivated data analyst with proven ability to drive process efficiency and data integrity. Over 5+ years of experience leading teams in data mining and data warehousing solutions. Exceptional skill in SQL-based environments. Business and data analyst with 5 years of experience across diverse industries. Expertise in analysis and testing of business requirements to drive deployment of applications, business processes and system solutions. Highly analytical and detailed with documented track record in full software development life cycle (SDLC) methodologies and Agile techniques.
Motivated and results-driven Analyst with proven track record in data analytics and process mapping. Proven ability to identify business needs and develop valuable solutions to drive accuracy and process efficiency. Drives business effectiveness through making recommendations based on data findings.
Industry experience in complex data analysis, experimentation, and product metrics for consumer facing products. Strong statistical background, Strong verbal and written communication, and presentation skills. Highly detailed oriented with Excellent judgment, critical-thinking, and decision-making skills also able can balance attention to detail with swift execution.

Sai Pramod Ram Pasupuleti

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Data Engineer

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B.Tech - Computer Science and Engineering

Intermediate Education - MPC

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Data Engineer

B.Tech - Computer Science and Engineering

Intermediate Education - MPC

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