Services
Video meeting . 15 mins
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 60 mins
Mock interview
Real Interview
Priority DM . 2 days reply
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
About me
● 6+ years of IT industry experience in Data Engineering, Big Data and Data Analytics.
● 6+ years’ experience with Management of operations and different teams.
● 6+ years’ experience with ETL orchestration using Talend.
● Experience working with cloud services MS Azure (Synapse, Data Factory, Data Lake Gen2, Blob Storage, Polybase, Data Warehouse, HDInsight, DataBricks, Azure PowerShell, Azure CLI).
● Experience with cloud services AWS (EC2, S3, RDS, EMR, Lambda, DynamoDB, CloudWatch, Glue).
● Experience working with various Big Data tools like Hadoop, Hive, MapReduce, Spark, Ambari, Sqoop & NoSQL etc.
● Experience working with common industry tools JIRA, Confluence, Git, TFS etc.
● Practical experience working with a variety of SDLC techniques like Agile, CI/CD, Scrum & Kanban etc.
● Expertise with many programming languages like Python (Pandas, NumPy, pymysql, psycopg2, sqlachemy, multiprocessing, multithreading, logging, Plotly), R, C++ & Java.
● Hands on skills with many databases MySQL, MSSQL, Postgres, Teradata & T-SQL etc.
● Expert in implementing Data Analytics & BI solutions using Tableau, Power BI, SAS, SAP etc.
● Designed and developed a system to integrate all data after extracting it from different client sources, transforming it into usable format and then loading it for further analysis.
● Perform complex Analysis to identify the required resources for an upcoming client and forecasting resources for existing clients in future.
● Own and research data for one or more geographic markets by gaining an understanding for industry, clients, and available data sets/providers.
● Identify opportunities to Improve Processes, Strategies with Technology Solutions and streamline operations.
● Query optimization by identifying and applying Indexes & Partitioning where needed.