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Lead Data Engineer having 7+ years of experience in implementing cloud analytic solutions. Google Certified Data Engineer in designing and developing end-to-end data flows. Proficient in Server-less Processing, Python, PL-SQL, and SQL development. Strong Expertise in developing analytical dashboards on Business Intelligence(BI) Tools such as Looker, Tableau and Salesforce CRM Analytics . Experience in Data modelling and Dimension modelling using various Data Warehouse methodologies.

Data Analytics Leader and Practitioner with 14+ years of experience building data solutions and leading analytics initiatives to drive business decisions and strategy.
Highly Experienced in Data Architecture, data modeling, Business Intelligence and Analytics.
Extensive data Engineering experience building Data Warehouse, Data Mart and Analytical applications.
Proven expertise in developing data pipelines from structured to unstructured sources, with strong skills in data architecture, modeling, and advanced analytics.
Experienced in Data Architecture & Data Engineering activities to design and build analytical applications leveraging distributed and cloud-native technologies.
Strong Hands-on experience with complex Transformation based data pipelines designed & developed using SQL, Python Structured data API / Library and Apache Spark.
Experience in BI Analytics and building Analytics pipelines – Tableau, Business Objects, Pentaho and Google Data Studio.
In-depth understanding of distributed computing and spark Architecture including Spark Core, SparkSQL, Dataframes etc.
Demonstrated ability to collaborate with cross-functional teams to develop innovative analytics solutions that achieve business goals.
Experienced in advanced analytics like Segmentation, Cohort analysis, tabPy integration and Hyper API
Successful track record in identifying and implementing process improvements and automation in data collection, analysis, and reporting.
Championed data-driven culture, transforming organizations from descriptive to prescriptive analytics approaches.

Senior Data Engineer with over 10+ years of experience architecting, developing, and optimizing scalable data platforms across GCP, Azure, and hybrid cloud infrastructures. Expert in designing Data Mesh architectures that enable decentralized, domain-oriented ownership with integrated governance via APIs and catalog services. Specialized in deploying high-performance, cloud-native solutions using BigQuery, Databricks, Synapse Analytics, and GKE Autopilot. Proven track record in developing fault-tolerant ETL/ELT pipelines using PySpark, Delta Lake, and Apache Hive, supporting multi-terabyte batch workloads and near-real-time streaming.

Results-driven professional with nearly 9 years of experience leveraging diverse technologies within the Azure cloud ecosystem, including Databricks, PySpark, Synapse Analytics, and Azure Data Factory. Expertise in building and optimizing data pipelines using Data Lake Store Gen2, Azure SQL, and Synapse SQL Pool, complemented by strong proficiency in Python and Spark for performance enhancement and data transformations. Proven track record of delivering high-quality solutions that drive efficiency and support data-driven decision-making. Committed to continuous learning and staying abreast of emerging technologies to deliver innovative results.

Abhishek Lanka

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Senior Software Engineer

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Bachelor of Technology - Computer Science

Lead Data Engineer

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